2021
Emanuele Pagliari; Luca Davoli; Antonio Cilfone; Gianluigi Ferrari
A Modular Multi-interface Gateway for Heterogeneous IoT Networking Inproceedings
In: 2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1-6, Marrakech, Morocco, 2021.
@inproceedings{padacife:2020:isaect,
title = {A Modular Multi-interface Gateway for Heterogeneous IoT Networking},
author = {Emanuele Pagliari and Luca Davoli and Antonio Cilfone and Gianluigi Ferrari},
doi = {10.1109/ISAECT50560.2020.9523689},
year = {2021},
date = {2021-09-01},
urldate = {2021-09-01},
booktitle = {2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT)},
pages = {1-6},
address = {Marrakech, Morocco},
abstract = {The massive deployment of Internet of Things (IoT) architectures and applications, in many fields over the last decade, has accelerated research efforts on low-power wireless connectivity protocols. Moreover, many standards have been introduced, highlighting the need to make data flow among different communication protocols and network interfaces feasible. To this end, devices like Gateways (GWs) play a crucial role in many IoT applications and will impact future developments and possibilities. In this paper, the design and deployment of a new modular and scalable GW architecture solution, suitable for a wide plethora of use case scenarios and useful as a starting point for many possible improvements and applications, is proposed. Experimental performance results are discussed, showing the roles of different interfaces in specific use cases in which the proposed this solution may be applied.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The massive deployment of Internet of Things (IoT) architectures and applications, in many fields over the last decade, has accelerated research efforts on low-power wireless connectivity protocols. Moreover, many standards have been introduced, highlighting the need to make data flow among different communication protocols and network interfaces feasible. To this end, devices like Gateways (GWs) play a crucial role in many IoT applications and will impact future developments and possibilities. In this paper, the design and deployment of a new modular and scalable GW architecture solution, suitable for a wide plethora of use case scenarios and useful as a starting point for many possible improvements and applications, is proposed. Experimental performance results are discussed, showing the roles of different interfaces in specific use cases in which the proposed this solution may be applied.
2020
Gaia Codeluppi; Antonio Cilfone; Luca Davoli; Gianluigi Ferrari
AI at the Edge: a Smart Gateway for Greenhouse Air Temperature Forecasting Inproceedings
In: 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), pp. 348–353, Trento, Italy, 2020.
@inproceedings{cocidafe:2020:metroagrifor,
title = {AI at the Edge: a Smart Gateway for Greenhouse Air Temperature Forecasting},
author = {Gaia Codeluppi and Antonio Cilfone and Luca Davoli and Gianluigi Ferrari},
doi = {10.1109/MetroAgriFor50201.2020.9277553},
year = {2020},
date = {2020-12-08},
booktitle = {2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)},
pages = {348--353},
address = {Trento, Italy},
abstract = {Controlling and forecasting environmental variables (e.g., air temperature) is usually a key and complex part in a greenhouse management architecture. Indeed, a greenhouse inner micro-climate, which is the result of an extensive set of inter-related environmental variables influenced by external weather conditions, has to be tightly monitored, regulated, and, some-times, forecast. Nowadays, Wireless Sensor Networks (WSNs) and Machine Learning (ML) are two of the most successful technologies to deal with this challenge. In this paper, we discuss how a Smart Gateway (GW), acting as a collector for sensor data coming from a WSN installed in a greenhouse, could be enriched with a Neural Network (NN)-based prediction model allowing to forecast a greenhouse’s inner air temperature. In the case of missing sensor data coming from the WSN, the proposed prediction algorithm, fed with meteorological open data (gathered from the DarkSky repository), is run on the GW in order to predict the missing values. Despite the model is especially designed to be lightweight and executable by a device with constrained capabilities, it can be adopted either at Cloud or at GW level to forecast future air temperature’s values, in order to support the management of a greenhouse. Experimental results show that the NN-based prediction algorithm can forecast greenhouse air temperature with a Root Mean Square Error (RMSE) of 1.50°C, a Mean Absolute Percentage Error (MAPE) of 4.91%, and a R2 score of 0.965.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Controlling and forecasting environmental variables (e.g., air temperature) is usually a key and complex part in a greenhouse management architecture. Indeed, a greenhouse inner micro-climate, which is the result of an extensive set of inter-related environmental variables influenced by external weather conditions, has to be tightly monitored, regulated, and, some-times, forecast. Nowadays, Wireless Sensor Networks (WSNs) and Machine Learning (ML) are two of the most successful technologies to deal with this challenge. In this paper, we discuss how a Smart Gateway (GW), acting as a collector for sensor data coming from a WSN installed in a greenhouse, could be enriched with a Neural Network (NN)-based prediction model allowing to forecast a greenhouse’s inner air temperature. In the case of missing sensor data coming from the WSN, the proposed prediction algorithm, fed with meteorological open data (gathered from the DarkSky repository), is run on the GW in order to predict the missing values. Despite the model is especially designed to be lightweight and executable by a device with constrained capabilities, it can be adopted either at Cloud or at GW level to forecast future air temperature’s values, in order to support the management of a greenhouse. Experimental results show that the NN-based prediction algorithm can forecast greenhouse air temperature with a Root Mean Square Error (RMSE) of 1.50°C, a Mean Absolute Percentage Error (MAPE) of 4.91%, and a R2 score of 0.965.
Nazila Bagheri; Saleh Yousefi; Gianluigi Ferrari
Software-defined control of emergency vehicles in smart cities Inproceedings
In: International Conference on Computer and Knowledge Engineering (ICCKE), pp. 6 pages, Ferdowsi University of Mashhad, Iran, 2020.
@inproceedings{BaYoFe_ICCKE20,
title = {Software-defined control of emergency vehicles in smart cities},
author = {Nazila Bagheri and Saleh Yousefi and Gianluigi Ferrari},
year = {2020},
date = {2020-11-04},
booktitle = {International Conference on Computer and Knowledge Engineering (ICCKE)},
pages = {6 pages},
address = {Ferdowsi University of Mashhad, Iran},
abstract = {One of the most fundamental challenges in nowadays transportation systems is the appropriate management of emergencies resulting from accidents. The purpose of this paper is to utilize vehicular communication technologies and integrate them with the software defined idea to reduce the time required by the emergency vehicle to arrive at the accident scene from the emergency center (i.e., rescue time). In this context, one of the main approaches is traffic light preemption in favor of emergency vehicles: the timing of traffic lights along the rescue route is dynamically adjusted to minimize the number of RED lights met by the emergency vehicles. Most of existing methods of preemption are based on local decision making at each individual traffic light. However, in this paper, the use of a central controller for traffic light scheduling leads to higher efficiency due to the higher knowledge of street traffic and intersection conditions. The proposed method is evaluated using the OMNET++ and SUMO tools over part of the city of Tabriz, Iran. The simulation results demonstrate that the proposed method can reduce the average rescue time even by more than 50% in some cases.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
One of the most fundamental challenges in nowadays transportation systems is the appropriate management of emergencies resulting from accidents. The purpose of this paper is to utilize vehicular communication technologies and integrate them with the software defined idea to reduce the time required by the emergency vehicle to arrive at the accident scene from the emergency center (i.e., rescue time). In this context, one of the main approaches is traffic light preemption in favor of emergency vehicles: the timing of traffic lights along the rescue route is dynamically adjusted to minimize the number of RED lights met by the emergency vehicles. Most of existing methods of preemption are based on local decision making at each individual traffic light. However, in this paper, the use of a central controller for traffic light scheduling leads to higher efficiency due to the higher knowledge of street traffic and intersection conditions. The proposed method is evaluated using the OMNET++ and SUMO tools over part of the city of Tabriz, Iran. The simulation results demonstrate that the proposed method can reduce the average rescue time even by more than 50% in some cases.
Reinhard Kloibhofer; Erwin Kristen; Luca Davoli
LoRaWAN with HSM as a Security Improvement for Agriculture Applications Inproceedings
In: Casimiro, António; Ortmeier, Frank; Schoitsch, Erwin; Bitsch, Friedemann; Ferreira, Pedro (Ed.): Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, pp. 176-188, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-55583-2.
@inproceedings{klkrda:2020,
title = {LoRaWAN with HSM as a Security Improvement for Agriculture Applications},
author = {Reinhard Kloibhofer and Erwin Kristen and Luca Davoli},
editor = {António Casimiro and Frank Ortmeier and Erwin Schoitsch and Friedemann Bitsch and Pedro Ferreira},
doi = {10.1007/978-3-030-55583-2_13},
isbn = {978-3-030-55583-2},
year = {2020},
date = {2020-09-08},
booktitle = {Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops},
volume = {12235},
pages = {176-188},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {The digital future in agriculture has started a long time ago, with Smart Farming and Agriculture 4.0 being synonyms that describe the change in this domain. Digitalization stands for the needed technology to realize the transformation from conventional to modern agriculture. The continuously monitoring of all environmental data and the recording of all work parameters enables data collections, which are used for precise decision making and the planning of in-time missions. To guarantee secure and genuine data, appropriate data security measures must be provided.
This paper will present a research work in the EU AFarCloud project. It introduces the important LoRaWAN data communication technology for the transmission of sensor data and to present a concept for improving data security and protection of sensor nodes. Data and device protection are becoming increasingly important, particularly around LoRaWAN applications in agriculture.
In the first part, a general assessment of the security situation in modern agriculture, data encryption methods, and the LoRaWAN data communication technology, will be presented.
Then, the paper explains the security improvement concept by using a Hardware Secure Module (HSM), which not only improves the data security but also prevents device manipulations. A real system implementation (Security Evaluation Demonstrator, SED) helps to validate the correctness and the correct function of the advanced security improvement.
Finally, an outlook on necessary future works declares what should be done in order to make the digital agriculture safe and secure in the same extent as Industrial Control Systems (ICSs) will be today.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The digital future in agriculture has started a long time ago, with Smart Farming and Agriculture 4.0 being synonyms that describe the change in this domain. Digitalization stands for the needed technology to realize the transformation from conventional to modern agriculture. The continuously monitoring of all environmental data and the recording of all work parameters enables data collections, which are used for precise decision making and the planning of in-time missions. To guarantee secure and genuine data, appropriate data security measures must be provided.
This paper will present a research work in the EU AFarCloud project. It introduces the important LoRaWAN data communication technology for the transmission of sensor data and to present a concept for improving data security and protection of sensor nodes. Data and device protection are becoming increasingly important, particularly around LoRaWAN applications in agriculture.
In the first part, a general assessment of the security situation in modern agriculture, data encryption methods, and the LoRaWAN data communication technology, will be presented.
Then, the paper explains the security improvement concept by using a Hardware Secure Module (HSM), which not only improves the data security but also prevents device manipulations. A real system implementation (Security Evaluation Demonstrator, SED) helps to validate the correctness and the correct function of the advanced security improvement.
Finally, an outlook on necessary future works declares what should be done in order to make the digital agriculture safe and secure in the same extent as Industrial Control Systems (ICSs) will be today.
This paper will present a research work in the EU AFarCloud project. It introduces the important LoRaWAN data communication technology for the transmission of sensor data and to present a concept for improving data security and protection of sensor nodes. Data and device protection are becoming increasingly important, particularly around LoRaWAN applications in agriculture.
In the first part, a general assessment of the security situation in modern agriculture, data encryption methods, and the LoRaWAN data communication technology, will be presented.
Then, the paper explains the security improvement concept by using a Hardware Secure Module (HSM), which not only improves the data security but also prevents device manipulations. A real system implementation (Security Evaluation Demonstrator, SED) helps to validate the correctness and the correct function of the advanced security improvement.
Finally, an outlook on necessary future works declares what should be done in order to make the digital agriculture safe and secure in the same extent as Industrial Control Systems (ICSs) will be today.
Alessandro Opinto; Marco Martalò; Carlo Tripodi; Alessandro Costalunga; Luca Cattani; Riccardo Raheli
Heuristic Design of Feedback Active Noise Control for Automotive Applications Conference
IEEE Int. Conference on Telecommunications and Signal Processing (TSP), IEEE, Milan, Italy, 2020, ISBN: 978-1-7281-6376-5, (Held as a virtual event due to the COVID-19 emergency.).
@conference{Opinto2020,
title = {Heuristic Design of Feedback Active Noise Control for Automotive Applications},
author = {Alessandro Opinto and Marco Martalò and Carlo Tripodi and Alessandro Costalunga and Luca Cattani and Riccardo Raheli},
url = {https://ieeexplore.ieee.org/abstract/document/9163500},
doi = {10.1109/TSP49548.2020.9163500},
isbn = {978-1-7281-6376-5},
year = {2020},
date = {2020-08-11},
booktitle = {IEEE Int. Conference on Telecommunications and Signal Processing (TSP)},
pages = {256-259},
publisher = {IEEE},
address = {Milan, Italy},
abstract = {In this paper, a performance analysis of FeedBack (FB) Active Noise Control (ANC) systems for automotive applications is presented. Noise cancellation is obtained from a fixed controller, heuristically designed using concepts from control theory. An experimental setup, representative of a headrest of a car seat with loudspeaker-microphone distance on the order of a few centimeters, has been developed to limit the system delay. The experimental band-limited noise source has been obtained from an idling car. Our results show that the proposed system guarantees appreciable peak noise cancellation and simultaneously avoids noise amplification outside the band of interest.},
note = {Held as a virtual event due to the COVID-19 emergency.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In this paper, a performance analysis of FeedBack (FB) Active Noise Control (ANC) systems for automotive applications is presented. Noise cancellation is obtained from a fixed controller, heuristically designed using concepts from control theory. An experimental setup, representative of a headrest of a car seat with loudspeaker-microphone distance on the order of a few centimeters, has been developed to limit the system delay. The experimental band-limited noise source has been obtained from an idling car. Our results show that the proposed system guarantees appreciable peak noise cancellation and simultaneously avoids noise amplification outside the band of interest.
2019
Fabrizio Carpi; Christian Häger; Marco Martalò; Riccardo Raheli; Henry D. Pfister
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding Conference
Annual Allerton Conference on Communication, Control, and Computing, IEEE, Urbana-Champaign, IL, USA, 2019, ISBN: 978-1-7281-3151-1.
@conference{Carpi2019,
title = {Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding},
author = {Fabrizio Carpi and Christian Häger and Marco Martalò and Riccardo Raheli and Henry D. Pfister},
url = {https://ieeexplore.ieee.org/document/8919799},
doi = {10.1109/ALLERTON.2019.8919799},
isbn = {978-1-7281-3151-1},
year = {2019},
date = {2019-12-05},
booktitle = {Annual Allerton Conference on Communication, Control, and Computing},
publisher = {IEEE},
address = {Urbana-Champaign, IL, USA},
abstract = {In this paper, we use reinforcement learning to find effective decoding strategies for binary linear codes. We start by reviewing several iterative decoding algorithms that involve a decision-making process at each step, including bit-flipping (BF) decoding, residual belief propagation, and anchor decoding. We then illustrate how such algorithms can be mapped to Markov decision processes allowing for data-driven learning of optimal decision strategies, rather than basing decisions on heuristics or intuition. As a case study, we consider BF decoding for both the binary symmetric and additive white Gaussian noise channel. Our results show that learned BF decoders can offer a range of performance-complexity trade-offs for the considered Reed-Muller and BCH codes, and achieve near-optimal performance in some cases. We also demonstrate learning convergence speed-ups when biasing the learning process towards correct decoding decisions, as opposed to relying only on random explorations and past knowledge.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In this paper, we use reinforcement learning to find effective decoding strategies for binary linear codes. We start by reviewing several iterative decoding algorithms that involve a decision-making process at each step, including bit-flipping (BF) decoding, residual belief propagation, and anchor decoding. We then illustrate how such algorithms can be mapped to Markov decision processes allowing for data-driven learning of optimal decision strategies, rather than basing decisions on heuristics or intuition. As a case study, we consider BF decoding for both the binary symmetric and additive white Gaussian noise channel. Our results show that learned BF decoders can offer a range of performance-complexity trade-offs for the considered Reed-Muller and BCH codes, and achieve near-optimal performance in some cases. We also demonstrate learning convergence speed-ups when biasing the learning process towards correct decoding decisions, as opposed to relying only on random explorations and past knowledge.
Antonio Cilfone; Luca Davoli; Gianluigi Ferrari
Virtualizing LoRaWAN Nodes: a CoAP-based Approach Inproceedings
In: 2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1-6, IEEE, 2019.
@inproceedings{cidafe:2019:isaect,
title = {Virtualizing LoRaWAN Nodes: a CoAP-based Approach},
author = { Antonio Cilfone and Luca Davoli and Gianluigi Ferrari},
doi = {10.1109/ISAECT47714.2019.9069691},
year = {2019},
date = {2019-11-29},
booktitle = {2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT)},
pages = {1-6},
publisher = {IEEE},
abstract = {In the near future, Internet of Things (IoT) will play a relevant role in people’s lives and one of the main challenges will be the integration of heterogeneous networks. Among widely adopted network technologies, the development of the so-called Low-Power Wide-Area Networks (LPWANs), in particular Long Range WAN (LoRaWAN) is attracting a significant interest from both academic and industrial worlds. The integration of LoRaWAN with other communication technologies represents a fundamental requirement for a successful rapid and large-scale diffusion of IoT paradigms, such as Smart Farming, Smart Factory, and Smart City. The aim of this paper is two-fold: we propose (i) a mechanism for automatic discovery of the sensors a LoRa device is equipped with; and (ii) a novel networking architecture, based on cloud computing and node virtualization, to enable the interaction of LoRaWAN end-nodes with other IP-based IoT devices. Our solution does not impact LoRaWAN networking and enables a seamless interaction between LoRaWAN end-nodes and other Constrained Application Protocol (CoAP)-based nodes.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In the near future, Internet of Things (IoT) will play a relevant role in people’s lives and one of the main challenges will be the integration of heterogeneous networks. Among widely adopted network technologies, the development of the so-called Low-Power Wide-Area Networks (LPWANs), in particular Long Range WAN (LoRaWAN) is attracting a significant interest from both academic and industrial worlds. The integration of LoRaWAN with other communication technologies represents a fundamental requirement for a successful rapid and large-scale diffusion of IoT paradigms, such as Smart Farming, Smart Factory, and Smart City. The aim of this paper is two-fold: we propose (i) a mechanism for automatic discovery of the sensors a LoRa device is equipped with; and (ii) a novel networking architecture, based on cloud computing and node virtualization, to enable the interaction of LoRaWAN end-nodes with other IP-based IoT devices. Our solution does not impact LoRaWAN networking and enables a seamless interaction between LoRaWAN end-nodes and other Constrained Application Protocol (CoAP)-based nodes.
Gaia Codeluppi; Antonio Cilfone; Luca Davoli; Gianluigi Ferrari
VegIoT Garden: a modular IoT Management Platform for Urban Vegetable Gardens Inproceedings
In: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), pp. 121-126, IEEE, Portici, Italy, 2019, ISBN: 978-1-7281-3611-0.
@inproceedings{cocidafe:2019:metroagrifor,
title = {VegIoT Garden: a modular IoT Management Platform for Urban Vegetable Gardens},
author = {Gaia Codeluppi and Antonio Cilfone and Luca Davoli and Gianluigi Ferrari},
doi = {10.1109/MetroAgriFor.2019.8909228},
isbn = {978-1-7281-3611-0},
year = {2019},
date = {2019-11-21},
booktitle = {2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)},
pages = {121-126},
publisher = {IEEE},
address = {Portici, Italy},
abstract = {Nowadays, the agricultural sector is facing challenges especially because of an extensive range of grueling trends. In this context, new highly technological applications—such as Internet of Things (IoT), Precision Agriculture (PA), and blockchain—are enabling Smart Agriculture (SA), which holds the promise to support future needs. In this extended abstract, a low-cost, modular, and energy-efficient IoT platform for SA, denoted as VegIoT Garden, based on Commercial-Off-The-Shelf (COTS) devices, adopting short- and long-range communication protocols (IEEE 802.11 and LoRa), and aiming at enhancing the management of vegetable gardens through the collection, monitoring, and analysis of sensor data, related to relevant parameters of growing plants (i.e., air and soil humidity and temperature), is presented. The infrastructure is completed with an Internet-enabled Home Node (HN) and an iOS-based mobile App, developed in order to simplify data visualization and plants’ status monitoring. The proposed IoT system has been validated in a real scenario (a vegetable garden) for more than a week: the collected data highlighted possible causes for a disease contracted by vegetables (namely, tomato’s blossom-end root), thus validating VegIoT Garden.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Nowadays, the agricultural sector is facing challenges especially because of an extensive range of grueling trends. In this context, new highly technological applications—such as Internet of Things (IoT), Precision Agriculture (PA), and blockchain—are enabling Smart Agriculture (SA), which holds the promise to support future needs. In this extended abstract, a low-cost, modular, and energy-efficient IoT platform for SA, denoted as VegIoT Garden, based on Commercial-Off-The-Shelf (COTS) devices, adopting short- and long-range communication protocols (IEEE 802.11 and LoRa), and aiming at enhancing the management of vegetable gardens through the collection, monitoring, and analysis of sensor data, related to relevant parameters of growing plants (i.e., air and soil humidity and temperature), is presented. The infrastructure is completed with an Internet-enabled Home Node (HN) and an iOS-based mobile App, developed in order to simplify data visualization and plants’ status monitoring. The proposed IoT system has been validated in a real scenario (a vegetable garden) for more than a week: the collected data highlighted possible causes for a disease contracted by vegetables (namely, tomato’s blossom-end root), thus validating VegIoT Garden.
Marco Martalò; Gianluigi Ferrari; Simone Perri; Gianmichele Verdano; Francesco De Mola; Francesco Monica
UWB TDoA-based Positioning Using a Single Hotspot with Multiple Anchors Conference
IEEE Int. Conference on Computing, Communication and Security (ICCCS), IEEE, Rome, Italy, 2019, ISBN: 978-1-7281-0875-9.
@conference{Martalò2019,
title = {UWB TDoA-based Positioning Using a Single Hotspot with Multiple Anchors},
author = {Marco Martalò and Gianluigi Ferrari and Simone Perri and Gianmichele Verdano and Francesco De Mola and Francesco Monica},
url = {https://ieeexplore.ieee.org/document/8888099},
doi = {10.1109/CCCS.2019.8888099},
isbn = {978-1-7281-0875-9},
year = {2019},
date = {2019-10-31},
booktitle = {IEEE Int. Conference on Computing, Communication and Security (ICCCS)},
pages = {1-7},
publisher = {IEEE},
address = {Rome, Italy},
abstract = {In this paper, we address target positioning in scenarios where the reference nodes, denoted as anchors, are not distributed at the perimeter of the area where the target is, but are concentrated in a very small region and target is outside this region. This scenario may be meaningful in smart building applications, where anchor nodes cannot be distributed and cabled in the monitored area. On the other hand, anchors may be installed on a single hotspot to be placed at the center of the environment of interest. In this case, the target has to be localized outside the polytope identified by the anchors. To this end, we investigate Ultra WideBand (UWB)-based target positioning with Time Difference of Arrival (TDoA) processing at the anchors. A comparative analysis between geometric and Particle Swarm Optimization (PSO) algorithms is carried out. Our results show accurate angle of arrival estimation accuracy. Moreover, while PSO guarantees a better performance, in terms of average position estimation error, the “dispersion” of position estimation (i.e., the standard deviation of the position error) is higher than in the case of geometric algorithms.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In this paper, we address target positioning in scenarios where the reference nodes, denoted as anchors, are not distributed at the perimeter of the area where the target is, but are concentrated in a very small region and target is outside this region. This scenario may be meaningful in smart building applications, where anchor nodes cannot be distributed and cabled in the monitored area. On the other hand, anchors may be installed on a single hotspot to be placed at the center of the environment of interest. In this case, the target has to be localized outside the polytope identified by the anchors. To this end, we investigate Ultra WideBand (UWB)-based target positioning with Time Difference of Arrival (TDoA) processing at the anchors. A comparative analysis between geometric and Particle Swarm Optimization (PSO) algorithms is carried out. Our results show accurate angle of arrival estimation accuracy. Moreover, while PSO guarantees a better performance, in terms of average position estimation error, the “dispersion” of position estimation (i.e., the standard deviation of the position error) is higher than in the case of geometric algorithms.
Fabrizio Carpi; Luca Davoli; Marco Martalò; Antonio Cilfone; Yingjie Yu; Yi Wang; Gianluigi Ferrari
RSSI-based Methods for LOS/NLOS Channel Identification in Indoor Scenarios Inproceedings
In: 2019 16th International Symposium on Wireless Communication Systems (ISWCS), pp. 171-175, IEEE, Oulu, Finland, 2019, ISBN: 978-1-7281-2527-5.
@inproceedings{cadamaciyuwafe:2019:iswcs,
title = {RSSI-based Methods for LOS/NLOS Channel Identification in Indoor Scenarios},
author = {Fabrizio Carpi and Luca Davoli and Marco Martalò and Antonio Cilfone and Yingjie Yu and Yi Wang and Gianluigi Ferrari},
doi = {10.1109/ISWCS.2019.8877315},
isbn = {978-1-7281-2527-5},
year = {2019},
date = {2019-10-22},
booktitle = {2019 16th International Symposium on Wireless Communication Systems (ISWCS)},
pages = {171-175},
publisher = {IEEE},
address = {Oulu, Finland},
abstract = {In this paper, we investigate classification methods aiming at identifying the Line-Of-Sight (LOS) or Non-LOS (NLOS) condition of a wireless channel. Our approach is based on the computation of statistical features over N consecutive channel measurements at the receiver (namely, N Received Signal Strength Indicator, RSSI, values). First, threshold classification criteria, on the considered features, are derived in order to perform LOS/NLOS identification. The thresholds’ values are tuned according to the "behaviour" of the statistical features in the considered environment. This method is compared to a sample-based (whose aim is to detect the data distribution) and a machine learning-based approaches. Although our approach is general, we present experimental results for IEEE 802.11 indoor channels. Our results show that simple threshold-based classification criteria on the considered statistical features may yield approximately 85÷90% LOS/NLOS classification accuracy, making them an attractive strategy for future 5G systems.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we investigate classification methods aiming at identifying the Line-Of-Sight (LOS) or Non-LOS (NLOS) condition of a wireless channel. Our approach is based on the computation of statistical features over N consecutive channel measurements at the receiver (namely, N Received Signal Strength Indicator, RSSI, values). First, threshold classification criteria, on the considered features, are derived in order to perform LOS/NLOS identification. The thresholds’ values are tuned according to the "behaviour" of the statistical features in the considered environment. This method is compared to a sample-based (whose aim is to detect the data distribution) and a machine learning-based approaches. Although our approach is general, we present experimental results for IEEE 802.11 indoor channels. Our results show that simple threshold-based classification criteria on the considered statistical features may yield approximately 85÷90% LOS/NLOS classification accuracy, making them an attractive strategy for future 5G systems.
Michele Amoretti; Gianluigi Ferrari
Resilience analysis of time-varying networks with addition and deletion of nodes Inproceedings
In: Italian Conference on Theoretical Computer Science (ICTCS 2019), pp. 12 pages, 2019.
@inproceedings{AmFe_ICTCS2019,
title = {Resilience analysis of time-varying networks with addition and deletion of nodes},
author = {Michele Amoretti and Gianluigi Ferrari},
url = {http://ceur-ws.org/Vol-2504/paper24.pdf},
year = {2019},
date = {2019-10-01},
booktitle = {Italian Conference on Theoretical Computer Science (ICTCS 2019)},
pages = {12 pages},
series = {CEUR WORKSHOP PROCEEDINGS},
abstract = {Most real world networks are dynamic, in the sense that nodes are added/deleted over time and connections among them evolve as well. Modeling the node degree distribution of such networks is very important, as it allows to characterize their resilience in terms of probability of node isolation. Unfortunately, in most cases this is highly challenging. In this paper, we propose an analytical framework for modeling the node degree distribution while taking into account node lifetime statistics. We provide exact solutions for two special cases of networks with preferential attachment, and we present simulation results that confirm the analytical ones.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Most real world networks are dynamic, in the sense that nodes are added/deleted over time and connections among them evolve as well. Modeling the node degree distribution of such networks is very important, as it allows to characterize their resilience in terms of probability of node isolation. Unfortunately, in most cases this is highly challenging. In this paper, we propose an analytical framework for modeling the node degree distribution while taking into account node lifetime statistics. We provide exact solutions for two special cases of networks with preferential attachment, and we present simulation results that confirm the analytical ones.
2018
Marco Martalò; Alessandro Opinto; Marco Maso; Merouane Debbah; Riccardo Raheli
Low-Complexity Channel Estimation in OFDM MU-MIMO Next Generation Cellular Networks Conference
IEEE Int. Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), IEEE, Bologna, Italy, 2018, ISBN: 978-1-5386-6009-6.
@conference{Martalò2018,
title = {Low-Complexity Channel Estimation in OFDM MU-MIMO Next Generation Cellular Networks},
author = {Marco Martalò and Alessandro Opinto and Marco Maso and Merouane Debbah and Riccardo Raheli},
url = {https://ieeexplore.ieee.org/abstract/document/8580905},
doi = {10.1109/PIMRC.2018.8580905},
isbn = {978-1-5386-6009-6},
year = {2018},
date = {2018-12-20},
booktitle = {IEEE Int. Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
pages = {1-5},
publisher = {IEEE},
address = {Bologna, Italy},
abstract = {We consider downlink communications between a Base Station (BS) and various mobile stations, equipped with multiple antennas, based on Orthogonal Frequency Division Multiplexing (OFDM). Transmission is compliant with the Long Term Evolution (LTE) standard operating in Frequency Division Duplex (FDD) mode. Since ideal feedback of channel state information to the BS may be cumbersome, we consider two suboptimal channel estimation algorithms, denoted as Resource Block (RB) and Resource Block Group (RBG). Both approaches approximate the channel as constant over multiples of the fundamental LTE block, known as Physical Resource Block (PRB). Our results show that RB and RBG incur a limited performance loss, yet guaranteeing significant saving in the amount of feedback information.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
We consider downlink communications between a Base Station (BS) and various mobile stations, equipped with multiple antennas, based on Orthogonal Frequency Division Multiplexing (OFDM). Transmission is compliant with the Long Term Evolution (LTE) standard operating in Frequency Division Duplex (FDD) mode. Since ideal feedback of channel state information to the BS may be cumbersome, we consider two suboptimal channel estimation algorithms, denoted as Resource Block (RB) and Resource Block Group (RBG). Both approaches approximate the channel as constant over multiples of the fundamental LTE block, known as Physical Resource Block (PRB). Our results show that RB and RBG incur a limited performance loss, yet guaranteeing significant saving in the amount of feedback information.
Luca Davoli; Yanina Protskaya; Luca Veltri
NEMO: A Flexible Java-based Network Emulator Inproceedings
In: 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 1-6, 2018, ISSN: 1847-358X.
@inproceedings{daprve:softcom:2018,
title = {NEMO: A Flexible Java-based Network Emulator},
author = {Luca Davoli and Yanina Protskaya and Luca Veltri},
url = {https://ieeexplore.ieee.org/document/8555769},
doi = {10.23919/SOFTCOM.2018.8555769},
issn = {1847-358X},
year = {2018},
date = {2018-12-03},
booktitle = {2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)},
pages = {1-6},
abstract = {Network emulation provides the capability to evaluate applications on standalone systems, representing a trade-off between real infrastructures and simulators, providing a lowlayer virtual network, and yet allowing real high-layer application code to be executed. Moreover, network emulation is useful to study and evaluate the behavior of applications in different conditions(maybe sometimes difficult to reach in real networks), in turn allowing a rapid deployment of hybrid real hardware/virtual network topologies. In this paper, a modular, flexible and highly scalable Java-based network emulator, denoted as NEMO, is proposed. NEMO can be integrated with external open-source Java applications or used as a virtualization mechanism, able to run third-party Java binary applications on a virtual node attached to either a virtual network or a real external network, in a completely transparent way for the end-user. Moreover, NEMO allows to plug in user-defined network components and run virtual networks composed by millions of nodes on a single end-user machine, as well as on a distributed infrastructure.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Network emulation provides the capability to evaluate applications on standalone systems, representing a trade-off between real infrastructures and simulators, providing a lowlayer virtual network, and yet allowing real high-layer application code to be executed. Moreover, network emulation is useful to study and evaluate the behavior of applications in different conditions(maybe sometimes difficult to reach in real networks), in turn allowing a rapid deployment of hybrid real hardware/virtual network topologies. In this paper, a modular, flexible and highly scalable Java-based network emulator, denoted as NEMO, is proposed. NEMO can be integrated with external open-source Java applications or used as a virtualization mechanism, able to run third-party Java binary applications on a virtual node attached to either a virtual network or a real external network, in a completely transparent way for the end-user. Moreover, NEMO allows to plug in user-defined network components and run virtual networks composed by millions of nodes on a single end-user machine, as well as on a distributed infrastructure.
Nicolò Strozzi; Federico Parisi; Gianluigi Ferrari
A novel step detection and step length estimation algorithm for hand-held smartphones Inproceedings
In: 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN 2018), IEEE, Nantes, France, 2018.
@inproceedings{StPaFe_IPIN18,
title = {A novel step detection and step length estimation algorithm for hand-held smartphones},
author = {Nicolò Strozzi and Federico Parisi and Gianluigi Ferrari},
url = {https://ieeexplore.ieee.org/document/8533807},
doi = {10.1109/IPIN.2018.8533807},
year = {2018},
date = {2018-10-01},
booktitle = {2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN 2018)},
publisher = {IEEE},
address = {Nantes, France},
abstract = {In this paper, we present an innovative inertial navigation system based on the data collected through the Inertial Measurement Unit (IMU) embedded in a commercial smartphone. We propose an innovative step detection algorithm which is independent of the holding mode, the only assumption being that the device is hand-held (i.e., the user is texting/navigating or phoning) and its movement is related to the upper body displacement during walking. We also present a new approach able to automatically calibrate the step length estimation formula according to the smartphone positioning. The developed algorithms have been validated through a test campaign in which we have evaluated the system performance considering three different smartphone models and different path lengths. The obtained results show that the maximum step detection error is always below 4% (average: 2.08%; standard deviation: 1.82%) whereas the maximum path length estimation error is below 8.1% (average: 3.6%; standard deviation: 1.81%) in all the considered cases.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we present an innovative inertial navigation system based on the data collected through the Inertial Measurement Unit (IMU) embedded in a commercial smartphone. We propose an innovative step detection algorithm which is independent of the holding mode, the only assumption being that the device is hand-held (i.e., the user is texting/navigating or phoning) and its movement is related to the upper body displacement during walking. We also present a new approach able to automatically calibrate the step length estimation formula according to the smartphone positioning. The developed algorithms have been validated through a test campaign in which we have evaluated the system performance considering three different smartphone models and different path lengths. The obtained results show that the maximum step detection error is always below 4% (average: 2.08%; standard deviation: 1.82%) whereas the maximum path length estimation error is below 8.1% (average: 3.6%; standard deviation: 1.81%) in all the considered cases.
Olivier Alphand; Michele Amoretti; Timothy Claeys; Simone Dall'Asta; Andrzej Duda; Gianluigi Ferrari; Franck Rousseau; Bernard Tourancheau; Luca Veltri; Francesco Zanichelli
IoTChain: A blockchain security architecture for the Internet of Things Inproceedings
In: IEEE Wireless Communications and Networking Conference (WCNC 2018), pp. 1-6, IEEE, Barcelona, Spain, 2018.
@inproceedings{alphand2018iotchain,
title = {IoTChain: A blockchain security architecture for the Internet of Things},
author = {Olivier Alphand and Michele Amoretti and Timothy Claeys and Simone Dall'Asta and Andrzej Duda and Gianluigi Ferrari and Franck Rousseau and Bernard Tourancheau and Luca Veltri and Francesco Zanichelli},
url = {https://ieeexplore.ieee.org/document/8377385},
doi = {10.1109/WCNC.2018.8377385},
year = {2018},
date = {2018-04-01},
booktitle = {IEEE Wireless Communications and Networking Conference (WCNC 2018)},
pages = {1-6},
publisher = {IEEE},
address = {Barcelona, Spain},
abstract = {In this paper, we propose IoTChain, a combination of the OSCAR architecture [1] and the ACE authorization framework [2] to provide an E2E solution for the secure authorized access to IoT resources. IoTChain consists of two components, an authorization blockchain based on the ACE framework and the OSCAR object security model, extended with a group key scheme. The blockchain provides a flexible and trustless way to handle authorization while OSCAR uses the public ledger to set up multicast groups for authorized clients. To evaluate the feasibility of our architecture, we have implemented the authorization blockchain on top of a private Ethereum network. We report on several experiments that assess the performance of different architecture components.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we propose IoTChain, a combination of the OSCAR architecture [1] and the ACE authorization framework [2] to provide an E2E solution for the secure authorized access to IoT resources. IoTChain consists of two components, an authorization blockchain based on the ACE framework and the OSCAR object security model, extended with a group key scheme. The blockchain provides a flexible and trustless way to handle authorization while OSCAR uses the public ledger to set up multicast groups for authorized clients. To evaluate the feasibility of our architecture, we have implemented the authorization blockchain on top of a private Ethereum network. We report on several experiments that assess the performance of different architecture components.
2017
Luca Davoli; Yanina Protskaya; Luca Veltri
An Anonymization Protocol for the Internet of Things Inproceedings
In: 2017 International Symposium on Wireless Communication Systems (ISWCS), pp. 459–464, IEEE 2017, ISSN: 2154-0225.
@inproceedings{davoli:2017:iswcs,
title = {An Anonymization Protocol for the Internet of Things},
author = {Luca Davoli and Yanina Protskaya and Luca Veltri},
url = {http://ieeexplore.ieee.org/document/8108159/},
doi = {10.1109/ISWCS.2017.8108159},
issn = {2154-0225},
year = {2017},
date = {2017-11-16},
booktitle = {2017 International Symposium on Wireless Communication Systems (ISWCS)},
pages = {459--464},
organization = {IEEE},
abstract = {The Internet of Things (IoT) is expected to pervasively interconnect billions of devices, denoted as “smart objects”, in an Internet-like structure, which will extend the current Internet, enabling new forms of interactions between objects based on social relationships. In such a scenario, security is a difficult and challenging task, and proper mechanisms should be defined without introducing too much protocol overhead and processing load. In particular, in this paper we focus on the anonymity of the communications and we propose a solution particularly suitable for such a constrained scenario. In the proposed solution IoT nodes form an Onion Routing anonymity network completely based on a datagram transport (e.g., over UDP). Confidentiality is completely enforced by the anonymity network and no other security protocols, such as IPSec or DTLS, are required. The proposed solution has been also implemented and tested.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The Internet of Things (IoT) is expected to pervasively interconnect billions of devices, denoted as “smart objects”, in an Internet-like structure, which will extend the current Internet, enabling new forms of interactions between objects based on social relationships. In such a scenario, security is a difficult and challenging task, and proper mechanisms should be defined without introducing too much protocol overhead and processing load. In particular, in this paper we focus on the anonymity of the communications and we propose a solution particularly suitable for such a constrained scenario. In the proposed solution IoT nodes form an Onion Routing anonymity network completely based on a datagram transport (e.g., over UDP). Confidentiality is completely enforced by the anonymity network and no other security protocols, such as IPSec or DTLS, are required. The proposed solution has been also implemented and tested.
Francesco Denaro, Luca Consolini, Davide Buratti
Robust regression for adaptive control of industrial weight fillers Conference
2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2017, ISBN: 978-1-5090-6505-9.
@conference{Denaro2017,
title = {Robust regression for adaptive control of industrial weight fillers},
author = {Francesco Denaro, Luca Consolini, Davide Buratti},
doi = {10.1109/ETFA.2017.8247694},
isbn = {978-1-5090-6505-9},
year = {2017},
date = {2017-09-12},
booktitle = {2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
publisher = {IEEE},
abstract = {In industrial weight-filling machines, containers are filled with the liquid stored in a tank by an electronically controlled valve. The weight is sensed through a load cell. We develop a learning algorithm that predicts the right closure time as a function of liquid pressure and temperature. The algorithm solves a non-convex robust regression problem and is based on a branch and bound approach in regressors space.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In industrial weight-filling machines, containers are filled with the liquid stored in a tank by an electronically controlled valve. The weight is sensed through a load cell. We develop a learning algorithm that predicts the right closure time as a function of liquid pressure and temperature. The algorithm solves a non-convex robust regression problem and is based on a branch and bound approach in regressors space.
Francesco Denaro, Luca Consolini, Marco Locatelli
2017 25th Mediterranean Conference on Control and Automation (MED), IEEE, 2017, ISBN: 978-1-5090-4533-4.
@conference{Denaro2017b,
title = {A branch and bound approach for a class of non-convex problems with applications to robust regression},
author = {Francesco Denaro, Luca Consolini, Marco Locatelli},
doi = {10.1109/MED.2017.7984148},
isbn = {978-1-5090-4533-4},
year = {2017},
date = {2017-07-03},
booktitle = {2017 25th Mediterranean Conference on Control and Automation (MED)},
publisher = {IEEE},
abstract = {We consider a class of non-convex problems, with application to robust regression and robust support vector machines. We propose an algorithm that computes the exact solution using a branch and bound approach in parameter space. Numerical experiments show that, in some cases, the time complexity of the algorithm is linear with respect to the number of samples, while it is exponential with respect to the number of regressors.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
We consider a class of non-convex problems, with application to robust regression and robust support vector machines. We propose an algorithm that computes the exact solution using a branch and bound approach in parameter space. Numerical experiments show that, in some cases, the time complexity of the algorithm is linear with respect to the number of samples, while it is exponential with respect to the number of regressors.
2016
Davide Alinovi; Gianluigi Ferrari; Francesco Pisani; Riccardo Raheli
Respiratory rate monitoring by maximum likelihood video processing Inproceedings
In: 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 172-177, 2016.
@inproceedings{7886029,
title = {Respiratory rate monitoring by maximum likelihood video processing},
author = {Davide Alinovi and Gianluigi Ferrari and Francesco Pisani and Riccardo Raheli},
doi = {10.1109/ISSPIT.2016.7886029},
year = {2016},
date = {2016-12-01},
booktitle = {2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)},
pages = {172-177},
abstract = {A novel video processing-based method for remote estimation of the respiratory rate (RR) is proposed. Relying on the fact that breathing involves quasi-periodic movements, this technique employs a generalized model of pixel-wise periodicity and applies a maximum likelihood (ML) criterion. The system first selects suitable regions of interest (ROI) mainly affected by respiratory movements. The obtained ROI are jointly analyzed for the estimation of the fundamental frequency, which is strictly related to the RR of the patient. A large motion detection algorithm is also applied, in order to exclude, from RR estimation, ROI possibly affected by unrelated large movements. The RRs estimated by the proposed system are compared with those extracted by a pneumograph and a previously proposed video processing algorithm. The results, albeit preliminary, show a good agreement with the pneumograph and a clear improvement over the previously proposed algorithm.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
A novel video processing-based method for remote estimation of the respiratory rate (RR) is proposed. Relying on the fact that breathing involves quasi-periodic movements, this technique employs a generalized model of pixel-wise periodicity and applies a maximum likelihood (ML) criterion. The system first selects suitable regions of interest (ROI) mainly affected by respiratory movements. The obtained ROI are jointly analyzed for the estimation of the fundamental frequency, which is strictly related to the RR of the patient. A large motion detection algorithm is also applied, in order to exclude, from RR estimation, ROI possibly affected by unrelated large movements. The RRs estimated by the proposed system are compared with those extracted by a pneumograph and a previously proposed video processing algorithm. The results, albeit preliminary, show a good agreement with the pneumograph and a clear improvement over the previously proposed algorithm.
Nicolò Strozzi; Federico Parisi; Gianluigi Ferrari
A multifloor hybrid inertial/barometric navigation system Inproceedings
In: 2016 IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016, ISBN: 978-1-5090-2425-4 .
@inproceedings{StPaFe_IPIN2016,
title = {A multifloor hybrid inertial/barometric navigation system},
author = {Nicolò Strozzi and Federico Parisi and Gianluigi Ferrari},
url = {http://dx.doi.org/10.1109/IPIN.2016.7743703
http://ieeexplore.ieee.org/document/7743703/},
isbn = {978-1-5090-2425-4 },
year = {2016},
date = {2016-10-09},
booktitle = {2016 IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
abstract = {This paper describes the development of a multifloor hybrid inertial/barometric navigation system. The prototype integrates several Magnetic Angular Rate and Gyroscope (MARG) sensors and a barometer. The inertial (MARG) sub-system, by properly processing the signals collected by the MARG sensors placed on the test subject's feet, reconstructs the two-dimensional navigation pattern by applying a Zero velocity UPdaTe (ZUPT) technique. Three different sensors' configurations are investigated in order to find the best performing set-up. A simpler configuration with a single MARG sensor is also considered to derive a reference performance benchmark without multiple MARG sensor fusion. The barometer, connected via usb to a Freakduino board, is used to detect the floor change. The fusion of inertial and barometric signals allows to fully reconstruct the movement of a person in both indoor and outdoor environments. The main goal of the proposed system is to allow accurate personal navigation without any external reference (i.e., radio signals, satellite signals, etc.). Considering a closed path, the relative distance error between the starting point and the final estimated position is below 2.5% of the total traveled distance.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes the development of a multifloor hybrid inertial/barometric navigation system. The prototype integrates several Magnetic Angular Rate and Gyroscope (MARG) sensors and a barometer. The inertial (MARG) sub-system, by properly processing the signals collected by the MARG sensors placed on the test subject's feet, reconstructs the two-dimensional navigation pattern by applying a Zero velocity UPdaTe (ZUPT) technique. Three different sensors' configurations are investigated in order to find the best performing set-up. A simpler configuration with a single MARG sensor is also considered to derive a reference performance benchmark without multiple MARG sensor fusion. The barometer, connected via usb to a Freakduino board, is used to detect the floor change. The fusion of inertial and barometric signals allows to fully reconstruct the movement of a person in both indoor and outdoor environments. The main goal of the proposed system is to allow accurate personal navigation without any external reference (i.e., radio signals, satellite signals, etc.). Considering a closed path, the relative distance error between the starting point and the final estimated position is below 2.5% of the total traveled distance.
Andrea G. Forte; Wei Wang; Luca Veltri; Gianluigi Ferrari
A P2P virtual core-network architecture for next-generation mobility networks Inproceedings
In: 2016 IEEE Conference on Standards for Communications and Networking (CSCN), pp. 1-7, 2016.
@inproceedings{7785154,
title = {A P2P virtual core-network architecture for next-generation mobility networks},
author = {Andrea G. Forte and Wei Wang and Luca Veltri and Gianluigi Ferrari},
doi = {10.1109/CSCN.2016.7785154},
year = {2016},
date = {2016-10-01},
booktitle = {2016 IEEE Conference on Standards for Communications and Networking (CSCN)},
pages = {1-7},
abstract = {We propose a new virtualized Peer-to-Peer (P2P) core-network architecture where each user gets its own private copy of the core network. This enables higher security and novel services, that cannot be deployed in today's architecture. We describe the new architecture in detail, presenting some of its many advantages and novel services. Lastly, we discuss some architectural options and their tradeoff by analyzing voice-call traffic in a large U.S. cellular network provider.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We propose a new virtualized Peer-to-Peer (P2P) core-network architecture where each user gets its own private copy of the core network. This enables higher security and novel services, that cannot be deployed in today's architecture. We describe the new architecture in detail, presenting some of its many advantages and novel services. Lastly, we discuss some architectural options and their tradeoff by analyzing voice-call traffic in a large U.S. cellular network provider.
Muhammad Asim; Marco Martalò; Gianluigi Ferrari; Riccardo Raheli
Pragmatic code-aided phase synchronization in iterative multi-sample receivers Inproceedings
In: 2016 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC), pp. 1-5, 2016, ISSN: 2165-4719.
@inproceedings{7593065,
title = {Pragmatic code-aided phase synchronization in iterative multi-sample receivers},
author = {Muhammad Asim and Marco Martalò and Gianluigi Ferrari and Riccardo Raheli},
doi = {10.1109/ISTC.2016.7593065},
issn = {2165-4719},
year = {2016},
date = {2016-09-01},
booktitle = {2016 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)},
pages = {1-5},
abstract = {In this paper, we consider communications impaired by phase noise and we propose an iterative multi-sample receiver, where the received signal is sampled with more than one sample per symbol interval. The approach is pragmatic in the sense that demodulation/decoding is performed separately from synchronization and relies on “off-the-shelf” subblocks. In particular, we extend a recently proposed Maximum A-posteriori Probability (MAP)-based algorithm for phase synchronization by exploiting oversampling at the receiver. Our simulation results show an improved performance with respect to a “classical” receiver, where phase synchronization relies on one sample per symbol interval only, for high phase noise scenarios.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we consider communications impaired by phase noise and we propose an iterative multi-sample receiver, where the received signal is sampled with more than one sample per symbol interval. The approach is pragmatic in the sense that demodulation/decoding is performed separately from synchronization and relies on “off-the-shelf” subblocks. In particular, we extend a recently proposed Maximum A-posteriori Probability (MAP)-based algorithm for phase synchronization by exploiting oversampling at the receiver. Our simulation results show an improved performance with respect to a “classical” receiver, where phase synchronization relies on one sample per symbol interval only, for high phase noise scenarios.
Marco Martalò; Gianluigi Ferrari; Andrea Abrardo
Tradeoff between energy consumption and detection capabilities in collaborative cognitive wireless networks Inproceedings
In: 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1-6, 2016, ISSN: 2166-9589.
@inproceedings{7794892,
title = {Tradeoff between energy consumption and detection capabilities in collaborative cognitive wireless networks},
author = {Marco Martalò and Gianluigi Ferrari and Andrea Abrardo},
doi = {10.1109/PIMRC.2016.7794892},
issn = {2166-9589},
year = {2016},
date = {2016-09-01},
booktitle = {2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)},
pages = {1-6},
abstract = {In this paper, we analyze a cognitive wireless scenario, where a primary wireless network (PWN) coexists with a cognitive (or secondary) wireless network (CWN). The PWN uses licensed spectrum and the nodes of the CWN cooperate to detect idle subchannels (not used by the PWN's nodes), possibly taking into account the knowledge of their positions'. On the basis of this scenario, we present a simple, yet effective, framework to analyze the tradeoff between the CWN detection capabilities, i.e., the probability of detecting an unused lincensed subchannel, and the energy consumption needed to detect this subchannel. To this end, we introduce a novel performance indicator, denoted as detection energy efficiency. Our results show that there is an optimal working point, i.e., an optimal number of collaborating CWN nodes that allows to achieve the highest detection energy efficiency.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we analyze a cognitive wireless scenario, where a primary wireless network (PWN) coexists with a cognitive (or secondary) wireless network (CWN). The PWN uses licensed spectrum and the nodes of the CWN cooperate to detect idle subchannels (not used by the PWN's nodes), possibly taking into account the knowledge of their positions'. On the basis of this scenario, we present a simple, yet effective, framework to analyze the tradeoff between the CWN detection capabilities, i.e., the probability of detecting an unused lincensed subchannel, and the energy consumption needed to detect this subchannel. To this end, we introduce a novel performance indicator, denoted as detection energy efficiency. Our results show that there is an optimal working point, i.e., an optimal number of collaborating CWN nodes that allows to achieve the highest detection energy efficiency.
Stefano Salsano; Luca Veltri; Luca Davoli; Pier Luigi Ventre; Giuseppe Siracusano
PMSR - Poor Man's Segment Routing, a minimalistic approach to Segment Routing and a Traffic Engineering use case Inproceedings
In: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, pp. 598-604, Istanbul, Turkey, 2016.
@inproceedings{salsano:noms2016,
title = {PMSR - Poor Man's Segment Routing, a minimalistic approach to Segment Routing and a Traffic Engineering use case},
author = {Stefano Salsano and Luca Veltri and Luca Davoli and Pier Luigi Ventre and Giuseppe Siracusano},
url = {https://ieeexplore.ieee.org/document/7502864},
doi = {10.1109/NOMS.2016.7502864},
year = {2016},
date = {2016-07-06},
booktitle = {NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium},
pages = {598-604},
address = {Istanbul, Turkey},
abstract = {The current specification of the Segment Routing (SR) architecture requires enhancements to the intradomain routing protocols (e.g. OSPF and IS-IS) so that the nodes can advertise the Segment Identifiers (SIDs). We propose a simpler solution called PMSR (Poor Man's Segment Routing), that does not require any enhancement to routing protocol. We compare the procedures of PMSR with traditional SR, showing that PMSR can reduce the operation and management complexity. We analyze the set of use cases in the current SR drafts and we claim that PMSR can support the large majority of them. Thanks to the drastic simplification of the control plane, we have been able to develop an open source prototype of PMSR. In the second part of the paper, we consider a Traffic Engineering use case, starting from a traditional flow assignment optimization problem, which allocates hop-by-hop paths to flows. We propose a SR path assignment algorithm and prove that it is optimal with respect to the number of segments allocated to a flow.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The current specification of the Segment Routing (SR) architecture requires enhancements to the intradomain routing protocols (e.g. OSPF and IS-IS) so that the nodes can advertise the Segment Identifiers (SIDs). We propose a simpler solution called PMSR (Poor Man's Segment Routing), that does not require any enhancement to routing protocol. We compare the procedures of PMSR with traditional SR, showing that PMSR can reduce the operation and management complexity. We analyze the set of use cases in the current SR drafts and we claim that PMSR can support the large majority of them. Thanks to the drastic simplification of the control plane, we have been able to develop an open source prototype of PMSR. In the second part of the paper, we consider a Traffic Engineering use case, starting from a traditional flow assignment optimization problem, which allocates hop-by-hop paths to flows. We propose a SR path assignment algorithm and prove that it is optimal with respect to the number of segments allocated to a flow.
Federico Parisi; Gianluigi Ferrari; Alessio Baricich; Marco D'Innocenzo; Carlo Cisari; Alessandro Mauro
Accurate gait analysis in post-stroke patients using a single inertial measurement unit Inproceedings
In: 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 335–340, IEEE 2016.
@inproceedings{PaFeBaDICiMa16,
title = {Accurate gait analysis in post-stroke patients using a single inertial measurement unit},
author = {Federico Parisi and Gianluigi Ferrari and Alessio Baricich and Marco D'Innocenzo and Carlo Cisari and Alessandro Mauro},
url = {http://dx.doi.org/10.1109/BSN.2016.7516284},
year = {2016},
date = {2016-06-01},
booktitle = {2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
pages = {335--340},
organization = {IEEE},
abstract = {Improving independent mobility in post-stroke patients is one of the main goals of most rehabilitation strategies. While quantitative gait assessment is crucial to provide a meaningful feedback on the recovery progress, the irregularity of hemiparetic walking prevents the use of classical Inertial Measurement Unit (IMU)-based gait analysis algorithms. In this paper, we propose a novel low-cost system, which relies on a single wearable IMU attached to the lower trunk, to estimate spatio-temporal gait parameters of both hemiparetic and healthy subjects. A new procedure for temporal features' computation and two modified versions of well-known step length (i.e., spatial features) estimators are derived. In both cases, we exploit dynamic calibration constants, related to the “power” of an individual gait pattern, to deal with the typical asymmetry and inter-subject variability of hemiparetic gait. The spatio-temporal features estimated with the proposed methods are compared with ground-truth parameters extracted by an optoelectronic system. The obtained results show very high correlations between estimated and reference values.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Improving independent mobility in post-stroke patients is one of the main goals of most rehabilitation strategies. While quantitative gait assessment is crucial to provide a meaningful feedback on the recovery progress, the irregularity of hemiparetic walking prevents the use of classical Inertial Measurement Unit (IMU)-based gait analysis algorithms. In this paper, we propose a novel low-cost system, which relies on a single wearable IMU attached to the lower trunk, to estimate spatio-temporal gait parameters of both hemiparetic and healthy subjects. A new procedure for temporal features' computation and two modified versions of well-known step length (i.e., spatial features) estimators are derived. In both cases, we exploit dynamic calibration constants, related to the “power” of an individual gait pattern, to deal with the typical asymmetry and inter-subject variability of hemiparetic gait. The spatio-temporal features estimated with the proposed methods are compared with ground-truth parameters extracted by an optoelectronic system. The obtained results show very high correlations between estimated and reference values.
Nicolò Strozzi; Federico Parisi; Gianluigi Ferrari
On single sensor-based inertial navigation Inproceedings
In: 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 300-305, 2016.
@inproceedings{StPaFe_BSN16,
title = {On single sensor-based inertial navigation},
author = {Nicolò Strozzi and Federico Parisi and Gianluigi Ferrari},
url = {http://dx.doi.org/10.1109/BSN.2016.7516278
http://ieeexplore.ieee.org/document/7516278/},
year = {2016},
date = {2016-01-01},
booktitle = {2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
pages = {300-305},
abstract = {In this paper, we compare two novel algorithms for pedestrian navigation based on signals collected by a single wearable Magnetic, Angular Rate, and Gravity (MARG) sensor. The two navigation algorithms, denoted as Enhanced Pedestrian Dead Reckoning (EPDR) and De-Drifted Propagation (DDP), require the placement of the MARG sensor on the foot or on the chest of the test subject, respectively. Different methods for gait characterization are compared, evaluating navigation dynamics by using data collected through an extensive experimental campaign. The main goal of this research is to investigate the peculiarities of different inertial navigation algorithms, in order to highlight the impact of the sensor's placement, together with inertial sensor issues. Considering a closed path (i.e., ending at the starting point), the relative distance error between the starting point and the final estimated position is about 2% of the total travelled distance for both DDP and EPDR navigation algorithms. On the other hand, the error between the initial heading angle and the final estimated one is approximately 10° for EPDR and 7° for DDP, respectively.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we compare two novel algorithms for pedestrian navigation based on signals collected by a single wearable Magnetic, Angular Rate, and Gravity (MARG) sensor. The two navigation algorithms, denoted as Enhanced Pedestrian Dead Reckoning (EPDR) and De-Drifted Propagation (DDP), require the placement of the MARG sensor on the foot or on the chest of the test subject, respectively. Different methods for gait characterization are compared, evaluating navigation dynamics by using data collected through an extensive experimental campaign. The main goal of this research is to investigate the peculiarities of different inertial navigation algorithms, in order to highlight the impact of the sensor's placement, together with inertial sensor issues. Considering a closed path (i.e., ending at the starting point), the relative distance error between the starting point and the final estimated position is about 2% of the total travelled distance for both DDP and EPDR navigation algorithms. On the other hand, the error between the initial heading angle and the final estimated one is approximately 10° for EPDR and 7° for DDP, respectively.
Luca Cattani; Harpreet P. Saini; Gianluigi Ferrari; Francesco Pisani; Riccardo Raheli
SmartCED: An Android application for neonatal seizures detection Inproceedings
In: 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-6, 2016.
@inproceedings{Caetal_MeMeA16,
title = {SmartCED: An Android application for neonatal seizures detection},
author = {Luca Cattani and Harpreet P. Saini and Gianluigi Ferrari and Francesco Pisani and Riccardo Raheli},
url = {http://dx.doi.org/10.1109/MeMeA.2016.7533708},
year = {2016},
date = {2016-01-01},
booktitle = {2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)},
pages = {1-6},
abstract = {In this paper, we present Smartphone-based Contactless Epilepsy Detector (SmartCED): an Android monitoring application able to diagnose neonatal clonic seizures and warn about their possible occurrences in realtime. SmartCED has, however, wider applicability so that it could also be used on adult patients. The main goal is to implement a wire-free and low-cost epilepsy diagnostic system, executing all the necessary processing directly on the smartphone. Seizures' recognition is based on a well-known statistical criterion, namely Maximum Likelihood (ML). As clonic seizures are characterized by quasi-periodic movements of some body parts, it is possible to detect the presence of a seizure by evaluating this periodicity from the video stream of the smartphone's camera. The heavy computational processing is carried out in the native code (C language) to enhance the performance. SmartCED presents a user-friendly interface in order to extend its use even to unskilled staff. In fact, although it integrates complex software from the technical point of view, the user has just to: start the App, “frame the patient”, and start monitoring with a simple touch.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we present Smartphone-based Contactless Epilepsy Detector (SmartCED): an Android monitoring application able to diagnose neonatal clonic seizures and warn about their possible occurrences in realtime. SmartCED has, however, wider applicability so that it could also be used on adult patients. The main goal is to implement a wire-free and low-cost epilepsy diagnostic system, executing all the necessary processing directly on the smartphone. Seizures' recognition is based on a well-known statistical criterion, namely Maximum Likelihood (ML). As clonic seizures are characterized by quasi-periodic movements of some body parts, it is possible to detect the presence of a seizure by evaluating this periodicity from the video stream of the smartphone's camera. The heavy computational processing is carried out in the native code (C language) to enhance the performance. SmartCED presents a user-friendly interface in order to extend its use even to unskilled staff. In fact, although it integrates complex software from the technical point of view, the user has just to: start the App, “frame the patient”, and start monitoring with a simple touch.
Carlo Tripodi; Gianluigi Ferrari; Riccardo Pighi; Riccardo Raheli
Performance of LDPC coded modulations in Power Line Communications Inproceedings
In: 2016 International Symposium on Power Line Communications and its Applications (ISPLC), pp. 25-30, 2016.
@inproceedings{TrFePiRa_ISPLC16,
title = {Performance of LDPC coded modulations in Power Line Communications},
author = {Carlo Tripodi and Gianluigi Ferrari and Riccardo Pighi and Riccardo Raheli},
url = {http://dx.doi.org/10.1109/ISPLC.2016.7476294},
year = {2016},
date = {2016-01-01},
booktitle = {2016 International Symposium on Power Line Communications and its Applications (ISPLC)},
pages = {25-30},
abstract = {We discuss the performance of different coding schemes based on the use of short LDPC codes, which are suitable for the application in Power Line Communications (PLC) systems, where low latency and high spectral efficiency is requested. We identify the class of LDPC codes appropriate for this purpose in the codes used in IEEE 802.16e standard (WiMAX). We then propose different coding schemes and conduct a performance analysis in terms of their capability of achieving the capacity in an Additive White Gaussian Noise (AWGN) channel, while keeping low the overall latency of the encoding/decoding process. We also consider the presence of bursty impulse noise, in order to investigate a typical PLC scenario. The analysis proves that WiMAX standard LDPC codes, used with proper coding schemes, achieve competitive trade-off between spectral and energy efficiency, maintaining the compatibility with the considered latency constraint.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We discuss the performance of different coding schemes based on the use of short LDPC codes, which are suitable for the application in Power Line Communications (PLC) systems, where low latency and high spectral efficiency is requested. We identify the class of LDPC codes appropriate for this purpose in the codes used in IEEE 802.16e standard (WiMAX). We then propose different coding schemes and conduct a performance analysis in terms of their capability of achieving the capacity in an Additive White Gaussian Noise (AWGN) channel, while keeping low the overall latency of the encoding/decoding process. We also consider the presence of bursty impulse noise, in order to investigate a typical PLC scenario. The analysis proves that WiMAX standard LDPC codes, used with proper coding schemes, achieve competitive trade-off between spectral and energy efficiency, maintaining the compatibility with the considered latency constraint.
2015
Luca Davoli; Luca Veltri; Pier Luigi Ventre; Giuseppe Siracusano; Stefano Salsano
Traffic Engineering with Segment Routing: SDN-Based Architectural Design and Open Source Implementation Inproceedings
In: 2015 Fourth European Workshop on Software Defined Networks (EWSDN), pp. 111-112, 2015.
@inproceedings{EWSDN2015,
title = {Traffic Engineering with Segment Routing: SDN-Based Architectural Design and Open Source Implementation},
author = {Luca Davoli and Luca Veltri and Pier Luigi Ventre and Giuseppe Siracusano and Stefano Salsano},
url = {https://ieeexplore.ieee.org/document/7313628},
doi = {10.1109/EWSDN.2015.73},
year = {2015},
date = {2015-11-04},
booktitle = {2015 Fourth European Workshop on Software Defined Networks (EWSDN)},
pages = {111-112},
abstract = {Traffic Engineering (TE) in IP carrier networks is one of the functions that can benefit from the Software Defined Networking paradigm. However traditional per-flow routing requires a direct interaction between the SDN controller and each node that is involved in the traffic paths. Segment Routing (SR) may simplify the route enforcement delegating all the configuration and per-flow state at the border of the network. In this work we propose an architecture that integrates the SDN paradigm with SR based TE, for which we have provided an open source reference implementation. We have designed and implemented a simple TE/SR heuristic for flow allocation and we show and discuss experimental results.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Traffic Engineering (TE) in IP carrier networks is one of the functions that can benefit from the Software Defined Networking paradigm. However traditional per-flow routing requires a direct interaction between the SDN controller and each node that is involved in the traffic paths. Segment Routing (SR) may simplify the route enforcement delegating all the configuration and per-flow state at the border of the network. In this work we propose an architecture that integrates the SDN paradigm with SR based TE, for which we have provided an open source reference implementation. We have designed and implemented a simple TE/SR heuristic for flow allocation and we show and discuss experimental results.
Federico Parisi; Gianluigi Ferrari; Matteo Giuberti; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro
On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians Inproceedings
In: Proc. of 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Cambridge, MA, USA, 2015.
@inproceedings{PaFeGiCoCiAzAlMa15BSN,
title = {On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians},
author = {Federico Parisi and Gianluigi Ferrari and Matteo Giuberti and Laura Contin and Veronica Cimolin and Corrado Azzaro and Giovanni Albani and Alessandro Mauro},
url = {http://dx.doi.org/10.1109/BSN.2015.7299401},
year = {2015},
date = {2015-06-09},
booktitle = {Proc. of 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
address = {Cambridge, MA, USA},
abstract = {Recently, we have proposed a unified approach, based on the use of a Body Sensor Network (BSN) formed by a few body-worn wireless inertial nodes, for automatic assignment of Unified Parkinsons Disease Rating Scale (UPDRS) scores in the following tasks: Leg Agility (LA), Sit-to-Stand (S2S), and Gait (G). Unlike our previous works and the majority of the works appeared in the literature, where UPDRS tasks are investigated singularly, in the current paper we carry out a comparative investigation of the LA, S2S, and G tasks. In particular, we focus on the correlation between UPDRS values assigned to the three tasks by both an expert neurologist and our automatic system. We also consider an aggregate UPDRS score in order to highlight the relevance of each task in the assessment of the gravity of the Parkinson;s Disease (PD).},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Recently, we have proposed a unified approach, based on the use of a Body Sensor Network (BSN) formed by a few body-worn wireless inertial nodes, for automatic assignment of Unified Parkinsons Disease Rating Scale (UPDRS) scores in the following tasks: Leg Agility (LA), Sit-to-Stand (S2S), and Gait (G). Unlike our previous works and the majority of the works appeared in the literature, where UPDRS tasks are investigated singularly, in the current paper we carry out a comparative investigation of the LA, S2S, and G tasks. In particular, we focus on the correlation between UPDRS values assigned to the three tasks by both an expert neurologist and our automatic system. We also consider an aggregate UPDRS score in order to highlight the relevance of each task in the assessment of the gravity of the Parkinson;s Disease (PD).
Marco Martalò; Gianluigi Ferrari; Muhammad Asim; Jonathan Gambini; Christian Mazzucco; Giacomo Cannalire; Sergio Bianchi; Riccardo Raheli
Reduced-complexity synchronization for high-order coded modulations Inproceedings
In: 2015 IEEE International Conference on Communications (ICC), pp. 4721-4726, 2015, ISSN: 1550-3607.
@inproceedings{7249069,
title = {Reduced-complexity synchronization for high-order coded modulations},
author = {Marco Martalò and Gianluigi Ferrari and Muhammad Asim and Jonathan Gambini and Christian Mazzucco and Giacomo Cannalire and Sergio Bianchi and Riccardo Raheli},
url = {https://dx.doi.org/10.1109/ICC.2015.7249069},
issn = {1550-3607},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE International Conference on Communications (ICC)},
pages = {4721-4726},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Marco Martalò; Antonino Gervasi; Carlo Tripodi; Riccardo Raheli
Information rate analysis of the oversampled phase-noise channel Inproceedings
In: 2015 International Symposium on Wireless Communication Systems (ISWCS), pp. 346-350, 2015.
@inproceedings{7454360,
title = {Information rate analysis of the oversampled phase-noise channel},
author = {Marco Martalò and Antonino Gervasi and Carlo Tripodi and Riccardo Raheli},
url = {https://dx.doi.org/10.1109/ISWCS.2015.7454360},
year = {2015},
date = {2015-01-01},
booktitle = {2015 International Symposium on Wireless Communication Systems (ISWCS)},
pages = {346-350},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Marco Martalò; Gianluigi Ferrari; Muhammad Asim; Jonathan Gambini; Christian Mazzucco; Giacomo Cannalire; Sergio Bianchi; Riccardo Raheli
Phase noise compensation for dually-polarized systems with independent transmission streams Inproceedings
In: 2015 International Symposium on Wireless Communication Systems (ISWCS), pp. 251-255, 2015.
@inproceedings{7454339,
title = {Phase noise compensation for dually-polarized systems with independent transmission streams},
author = {Marco Martalò and Gianluigi Ferrari and Muhammad Asim and Jonathan Gambini and Christian Mazzucco and Giacomo Cannalire and Sergio Bianchi and Riccardo Raheli},
url = {https://dx.doi.org/10.1109/ISWCS.2015.7454339},
year = {2015},
date = {2015-01-01},
booktitle = {2015 International Symposium on Wireless Communication Systems (ISWCS)},
pages = {251-255},
abstract = {In this paper, an innovative Minimum Mean Square Error (MMSE)-based iterative synchronization algorithm is devised for a dually-polarized wireless link, affected by phase noise and Cross-Polarization Interference (XPI), with independent transmission streams over the two polarizations. A novel per-polarization soft decision-directed iterative receiver with separate A Posteriori Probability (APP)-based synchronization and decoding is proposed. The key idea of the proposed synchronization algorithm relies on an MMSE-based (master-slave) phase estimation followed by cancellation of the XPI on the polarization of interest. An attractive feature of the proposed approach is that it requires no statistical knowledge of the phase noise process. The performance of the proposed iterative receiver is investigated with a pilot symbol-assisted Low-Density Parity-Check (LDPC)-coded Quadrature Amplitude Modulation (QAM) scheme.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, an innovative Minimum Mean Square Error (MMSE)-based iterative synchronization algorithm is devised for a dually-polarized wireless link, affected by phase noise and Cross-Polarization Interference (XPI), with independent transmission streams over the two polarizations. A novel per-polarization soft decision-directed iterative receiver with separate A Posteriori Probability (APP)-based synchronization and decoding is proposed. The key idea of the proposed synchronization algorithm relies on an MMSE-based (master-slave) phase estimation followed by cancellation of the XPI on the polarization of interest. An attractive feature of the proposed approach is that it requires no statistical knowledge of the phase noise process. The performance of the proposed iterative receiver is investigated with a pilot symbol-assisted Low-Density Parity-Check (LDPC)-coded Quadrature Amplitude Modulation (QAM) scheme.
Davide Alinovi; Luca Cattani; Gianluigi Ferrari; Francesco Pisani; Riccardo Raheli
Video simulation of apnoea episodes Inproceedings
In: 2015 IEEE International Conference on Multimedia Expo Workshops (ICMEW), pp. 1-6, 2015.
@inproceedings{Aletal_ICMEW15,
title = {Video simulation of apnoea episodes},
author = {Davide Alinovi and Luca Cattani and Gianluigi Ferrari and Francesco Pisani and Riccardo Raheli},
url = {http://dx.doi.org/10.1109/ICMEW.2015.7169869},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE International Conference on Multimedia Expo Workshops (ICMEW)},
pages = {1-6},
abstract = {This paper presents a video simulator of apnoea episodes. A simple Continuous-Time Markov Chain (CTMC) model, describing the apnoea statistical behaviour, is combined with a properly designed video processing tool to insert apnoea episodes in the video recording of a normally breathing patient. In particular, the simulator has been applied to videos of newborns in order to simulate respiratory arrests. The obtained video streams are processed through a previously developed video processing-based system for automatic detection of apnoeas. Because of the rarity of apnoeas and the consequent limited availability of video recordings, the use of this simulator can be very helpful to test and design algorithms for detection of apnoea events. The presented results show that these events can indeed be simulated by the proposed video processing method in an accurate and reliable fashion. The proposed simulation approach can thus be very helpful for the implementation of innovative video-based, non-invasive monitoring systems or telemedical devices for in-home care.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper presents a video simulator of apnoea episodes. A simple Continuous-Time Markov Chain (CTMC) model, describing the apnoea statistical behaviour, is combined with a properly designed video processing tool to insert apnoea episodes in the video recording of a normally breathing patient. In particular, the simulator has been applied to videos of newborns in order to simulate respiratory arrests. The obtained video streams are processed through a previously developed video processing-based system for automatic detection of apnoeas. Because of the rarity of apnoeas and the consequent limited availability of video recordings, the use of this simulator can be very helpful to test and design algorithms for detection of apnoea events. The presented results show that these events can indeed be simulated by the proposed video processing method in an accurate and reliable fashion. The proposed simulation approach can thus be very helpful for the implementation of innovative video-based, non-invasive monitoring systems or telemedical devices for in-home care.
Simone Cirani; Gianluigi Ferrari; Nicola Iotti; Marco Picone
The IoT hub: a fog node for seamless management of heterogeneous connected smart objects Inproceedings
In: 2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops), pp. 1-6, 2015.
@inproceedings{CiFeIoPi_SECON15,
title = {The IoT hub: a fog node for seamless management of heterogeneous connected smart objects},
author = {Simone Cirani and Gianluigi Ferrari and Nicola Iotti and Marco Picone},
url = {http://dx.doi.org/10.1109/SECONW.2015.7328145},
year = {2015},
date = {2015-01-01},
booktitle = {2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops)},
pages = {1-6},
abstract = {The Internet of Things (IoT) will interconnect billions of devices, denoted as “smart objects,” deployed pervasively, which will be extremely heterogeneous, in terms of hardware (i.e., computational power and available memory), software (i.e., operating systems, applications), and communication interfaces. Traditional Internet actors, such as personal computers, mobile devices, and cloud servers, will also communicate with smart objects, thus creating even more complexity. The IoT has so far grown as several vertical silos, with the purpose of demonstrating the concept of the IoT, rather than focusing on the actual construction of a highly interoperable infrastructure for the development of applications. The Internet Protocol (IP) stack (in particular, HTTP and CoAP) has been foreseen as the driver for integration and interoperability among devices and basis for the evolution of the Web of Things. However, in order to manage the physical diversity of devices and to create an IP-based infrastructure, the presence of network elements able to bridge different networks to enable direct end-to-end communication is required. Moreover, effective interaction with applications might require the presence of intermediaries, such as proxies, which may optionally implement protocol and data format translation functionalities. Given the above considerations, we propose a Fog node, denoted as “IoT Hub,” placed at the edge of multiple networks, which enhances the networks capabilities by implementing the following functions: border router; cross-proxy; cache; and resource directory. An implementation of the IoT Hub is presented together with a performance evaluation in a real-world IoT testbed.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The Internet of Things (IoT) will interconnect billions of devices, denoted as “smart objects,” deployed pervasively, which will be extremely heterogeneous, in terms of hardware (i.e., computational power and available memory), software (i.e., operating systems, applications), and communication interfaces. Traditional Internet actors, such as personal computers, mobile devices, and cloud servers, will also communicate with smart objects, thus creating even more complexity. The IoT has so far grown as several vertical silos, with the purpose of demonstrating the concept of the IoT, rather than focusing on the actual construction of a highly interoperable infrastructure for the development of applications. The Internet Protocol (IP) stack (in particular, HTTP and CoAP) has been foreseen as the driver for integration and interoperability among devices and basis for the evolution of the Web of Things. However, in order to manage the physical diversity of devices and to create an IP-based infrastructure, the presence of network elements able to bridge different networks to enable direct end-to-end communication is required. Moreover, effective interaction with applications might require the presence of intermediaries, such as proxies, which may optionally implement protocol and data format translation functionalities. Given the above considerations, we propose a Fog node, denoted as “IoT Hub,” placed at the edge of multiple networks, which enhances the networks capabilities by implementing the following functions: border router; cross-proxy; cache; and resource directory. An implementation of the IoT Hub is presented together with a performance evaluation in a real-world IoT testbed.
Federico Parisi; Gianluigi Ferrari; Veronica Cimolin; Matteo Giuberti; Corrado Azzaro; Giovanni Albani; Laura Contin; Alessandro Mauro
On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians Inproceedings
In: 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 1-6, 2015, ISSN: 2376-8886.
@inproceedings{7299401,
title = {On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians},
author = {Federico Parisi and Gianluigi Ferrari and Veronica Cimolin and Matteo Giuberti and Corrado Azzaro and Giovanni Albani and Laura Contin and Alessandro Mauro},
url = {http://dx.doi.org/10.1109/BSN.2015.7299401},
issn = {2376-8886},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
pages = {1-6},
abstract = {Recently, we have proposed a unified approach, based on the use of a Body Sensor Network (BSN) formed by a few body-worn wireless inertial nodes, for automatic assignment of Unified Parkinsons Disease Rating Scale (UPDRS) scores in the following tasks: Leg Agility (LA), Sit-to-Stand (S2S), and Gait (G). Unlike our previous works and the majority of the works appeared in the literature, where UPDRS tasks are investigated singularly, in the current paper we carry out a comparative investigation of the LA, S2S, and G tasks. In particular, we focus on the correlation between UPDRS values assigned to the three tasks by both an expert neurologist and our automatic system. We also consider an aggregate UPDRS score in order to highlight the relevance of each task in the assessment of the gravity of the Parkinson;s Disease (PD).},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Recently, we have proposed a unified approach, based on the use of a Body Sensor Network (BSN) formed by a few body-worn wireless inertial nodes, for automatic assignment of Unified Parkinsons Disease Rating Scale (UPDRS) scores in the following tasks: Leg Agility (LA), Sit-to-Stand (S2S), and Gait (G). Unlike our previous works and the majority of the works appeared in the literature, where UPDRS tasks are investigated singularly, in the current paper we carry out a comparative investigation of the LA, S2S, and G tasks. In particular, we focus on the correlation between UPDRS values assigned to the three tasks by both an expert neurologist and our automatic system. We also consider an aggregate UPDRS score in order to highlight the relevance of each task in the assessment of the gravity of the Parkinson;s Disease (PD).
Gabriele Ferrari; Paolo Medagliani; Simone Cirani; Marco Picone; Gianluigi Ferrari
A Data-driven IoT-oriented dual-Network Management Protocol Inproceedings
In: 2015 IEEE International Conference on Communication Workshop (ICCW), pp. 1539-1544, 2015, ISSN: 2164-7038.
@inproceedings{Feetal_ICC15,
title = {A Data-driven IoT-oriented dual-Network Management Protocol},
author = {Gabriele Ferrari and Paolo Medagliani and Simone Cirani and Marco Picone and Gianluigi Ferrari},
url = {http://dx.doi.org/10.1109/ICCW.2015.7247398},
issn = {2164-7038},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE International Conference on Communication Workshop (ICCW)},
pages = {1539-1544},
abstract = {The trade-off between high-performance data transmission and low-energy consumption is a long-existing issue in the field of wireless communications. Efficient data exchange is critical for battery-equipped mobile devices typically used in distributed surveillance scenarios, where it may be required to transmit video or audio streams between in-network nodes. In such cases, the devices carried by operators require to be as lightweight as possible. However, low-power and lossy networks do not provide sufficient bandwidth to meet the requirements of streaming transmissions, while high-performance communications result in high energy consumptions, shortening the lifetimes of the devices. In this paper, we propose a Data-driven IoT-oriented dual-Network Management Protocol (DNMP), oriented to Internet of Things (IoT), which leverages on the presence of two IP-addressable radio interfaces on the same node: one with low energy consumption (and through-put) and one with high throughput (and energy consumption). The low-power network acts both as an independent data plane and as a control plane for the high-throughput network, which is turned on whenever necessary to support multimedia streaming. In order to validate our protocol, we consider the integration of low-power IEEE 802.15.4 radio transceiver and high-throughput IEEE 802.11s radio transceivers. An extensive experimental investigation is then carried out, with the following goals: (i) investigating the performance of the two overlaid networks (IEEE 802.15.4 and IEEE 802.11s); and ii) determining the critical threshold, in terms of amount of data to be transmitted, beyond which the use of DNMP becomes advantageous.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The trade-off between high-performance data transmission and low-energy consumption is a long-existing issue in the field of wireless communications. Efficient data exchange is critical for battery-equipped mobile devices typically used in distributed surveillance scenarios, where it may be required to transmit video or audio streams between in-network nodes. In such cases, the devices carried by operators require to be as lightweight as possible. However, low-power and lossy networks do not provide sufficient bandwidth to meet the requirements of streaming transmissions, while high-performance communications result in high energy consumptions, shortening the lifetimes of the devices. In this paper, we propose a Data-driven IoT-oriented dual-Network Management Protocol (DNMP), oriented to Internet of Things (IoT), which leverages on the presence of two IP-addressable radio interfaces on the same node: one with low energy consumption (and through-put) and one with high throughput (and energy consumption). The low-power network acts both as an independent data plane and as a control plane for the high-throughput network, which is turned on whenever necessary to support multimedia streaming. In order to validate our protocol, we consider the integration of low-power IEEE 802.15.4 radio transceiver and high-throughput IEEE 802.11s radio transceivers. An extensive experimental investigation is then carried out, with the following goals: (i) investigating the performance of the two overlaid networks (IEEE 802.15.4 and IEEE 802.11s); and ii) determining the critical threshold, in terms of amount of data to be transmitted, beyond which the use of DNMP becomes advantageous.
Marco Martalò; Gianluigi Ferrari; Muhammad Asim; Jonathan Gambini; Christian Mazzucco; Giacomo Cannalire; Sergio Bianchi; Riccardo Raheli
Reduced-complexity synchronization for high-order coded modulations Inproceedings
In: 2015 IEEE International Conference on Communications (ICC), pp. 4721-4726, 2015, ISSN: 1550-3607.
@inproceedings{Maetal_ICC15,
title = {Reduced-complexity synchronization for high-order coded modulations},
author = {Marco Martalò and Gianluigi Ferrari and Muhammad Asim and Jonathan Gambini and Christian Mazzucco and Giacomo Cannalire and Sergio Bianchi and Riccardo Raheli},
url = {http://dx.doi.org/10.1109/ICC.2015.7249069},
issn = {1550-3607},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE International Conference on Communications (ICC)},
pages = {4721-4726},
abstract = {This paper focuses on phase noise-impaired communications. An efficient Maximum A-posteriori Probability (MAP) iterative synchronization algorithm, where detection and decoding are performed separately from phase estimation, is proposed. This approach has the following key advantages: (i) its computational complexity is relatively low and its performance is near optimal; (ii) it requires very limited statistical knowledge of the phase noise process; and (iii) it enables the direct use of “off-the-shelf” demodulation and decoding blocks. These features are particularly attractive from the implementation viewpoint, as they lead to the design of effective pragmatic high-order coded modulated schemes. The proposed iterative synchronization and decoding algorithm, evaluated for Low-Density Parity-Check (LDPC)-coded pilot symbol-assisted Quadrature Amplitude Modulation (QAM) schemes, entails a negligible energy efficiency loss with respect to optimized joint decoding and phase estimation approaches, with significantly lower computational complexity.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper focuses on phase noise-impaired communications. An efficient Maximum A-posteriori Probability (MAP) iterative synchronization algorithm, where detection and decoding are performed separately from phase estimation, is proposed. This approach has the following key advantages: (i) its computational complexity is relatively low and its performance is near optimal; (ii) it requires very limited statistical knowledge of the phase noise process; and (iii) it enables the direct use of “off-the-shelf” demodulation and decoding blocks. These features are particularly attractive from the implementation viewpoint, as they lead to the design of effective pragmatic high-order coded modulated schemes. The proposed iterative synchronization and decoding algorithm, evaluated for Low-Density Parity-Check (LDPC)-coded pilot symbol-assisted Quadrature Amplitude Modulation (QAM) schemes, entails a negligible energy efficiency loss with respect to optimized joint decoding and phase estimation approaches, with significantly lower computational complexity.
Davide Alinovi; Luca Cattani; Gianluigi Ferrari; Francesco Pisani; Riccardo Raheli
Spatio-temporal video processing for respiratory rate estimation Inproceedings
In: 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 12-17, 2015.
@inproceedings{Aletal_MeMeA15,
title = {Spatio-temporal video processing for respiratory rate estimation},
author = {Davide Alinovi and Luca Cattani and Gianluigi Ferrari and Francesco Pisani and Riccardo Raheli},
url = {http://dx.doi.org/10.1109/MeMeA.2015.7145164},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA)},
pages = {12-17},
abstract = {In this paper, we present a wire-free, low-cost video processing-based technique for respiratory rate (RR) estimation. The proposed method blends together two recently presented techniques, with the purpose of emphasizing small movements, such as respiratory movements possibly present in a video stream, in order to detect them. Initially, the system performs a spatial decomposition of the video frames in a pyramidal representation, in which each layer contains different spatial details. The levels are then pixel-wise temporally filtered with an infinite impulse response (IIR) filter, purposely designed to extract components having a periodicity compatible with the respiratory rate. Afterwards a single motion signal is extracted from each level. Finally, the extracted signals are jointly analyzed according to the maximum likelihood (ML) criterion in order to estimate the respiratory rate. The parameters extracted by our algorithm show a good agreement with those indicated by a gold-standard polysomnographic system. Therefore, our results, although preliminary, are encouraging and show that the respiratory rate can be reliably measured and monitored by a low-cost, wire-free, video processing-based system.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we present a wire-free, low-cost video processing-based technique for respiratory rate (RR) estimation. The proposed method blends together two recently presented techniques, with the purpose of emphasizing small movements, such as respiratory movements possibly present in a video stream, in order to detect them. Initially, the system performs a spatial decomposition of the video frames in a pyramidal representation, in which each layer contains different spatial details. The levels are then pixel-wise temporally filtered with an infinite impulse response (IIR) filter, purposely designed to extract components having a periodicity compatible with the respiratory rate. Afterwards a single motion signal is extracted from each level. Finally, the extracted signals are jointly analyzed according to the maximum likelihood (ML) criterion in order to estimate the respiratory rate. The parameters extracted by our algorithm show a good agreement with those indicated by a gold-standard polysomnographic system. Therefore, our results, although preliminary, are encouraging and show that the respiratory rate can be reliably measured and monitored by a low-cost, wire-free, video processing-based system.
Carlo Tripodi; Gianluigi Ferrari; Riccardo Pighi; Riccardo Raheli
A novel weight reset strategy for the LMS algorithm subject to abrupt channel variations Inproceedings
In: 2015 International Symposium on Power Line Communications and its Applications (ISPLC), pp. 131-136, 2015.
@inproceedings{TrFePiRa_ISPLC15,
title = {A novel weight reset strategy for the LMS algorithm subject to abrupt channel variations},
author = {Carlo Tripodi and Gianluigi Ferrari and Riccardo Pighi and Riccardo Raheli},
url = {http://dx.doi.org/10.1109/ISPLC.2015.7147602},
year = {2015},
date = {2015-01-01},
booktitle = {2015 International Symposium on Power Line Communications and its Applications (ISPLC)},
pages = {131-136},
abstract = {We discuss a novel strategy to reset the weight vector of the Least Mean Square (LMS) adaptive algorithm when abrupt channel variations occur. Such variations may be caused by line impedance sudden changes, typically due to switching events, and may significantly impact the performance of the LMS algorithms used for adaptive echo cancellation and equalization. Specifically, they may trigger a convergence transient period, whose duration depends on the distance between the current weight vector and the final one. In previous work, a weight reset strategy based on sign inversion was demonstrated in the context of echo cancellation for a power line modem. In this paper, we extend this work by investigating weight reset strategies based on a group of reinitialization vectors, some of which will be likely close to the final LMS optimal weights. The results show that it may indeed be possible to promptly detect abrupt channel variations and properly reset the LMS weights in order to shorten the induced transient period.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We discuss a novel strategy to reset the weight vector of the Least Mean Square (LMS) adaptive algorithm when abrupt channel variations occur. Such variations may be caused by line impedance sudden changes, typically due to switching events, and may significantly impact the performance of the LMS algorithms used for adaptive echo cancellation and equalization. Specifically, they may trigger a convergence transient period, whose duration depends on the distance between the current weight vector and the final one. In previous work, a weight reset strategy based on sign inversion was demonstrated in the context of echo cancellation for a power line modem. In this paper, we extend this work by investigating weight reset strategies based on a group of reinitialization vectors, some of which will be likely close to the final LMS optimal weights. The results show that it may indeed be possible to promptly detect abrupt channel variations and properly reset the LMS weights in order to shorten the induced transient period.
Andrea G. Forte; Gianluigi Ferrari
Towards distributing block ciphers computations Inproceedings
In: 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 41-46, 2015.
@inproceedings{FoFe_WCNCW15,
title = {Towards distributing block ciphers computations},
author = {Andrea G. Forte and Gianluigi Ferrari},
url = {http://dx.doi.org/10.1109/WCNCW.2015.7122526},
year = {2015},
date = {2015-01-01},
booktitle = {2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)},
pages = {41-46},
abstract = {Providing data confidentiality for energyconstrained devices has proven to be a hard problem. Over the years many efficient implementations of well-known block ciphers, as well as a large number of new “lightweight” block ciphers, have been introduced. We propose to distribute block ciphers encryption and decryption operations between a subset of “trusted” nodes. Any block cipher, lightweight or not, can benefit from it. In particular, we analyze the energy consumption of AES128 in Cipher Block Chaining (CBC) mode and measure the energy savings that a distributed computation of AES128-CBC can give. We show that, by leveraging this distributed computation, a node can save up to 73% and up to 81% of the energy normally spent in encryption and decryption, respectively. This has relevant implications in Internet of Things scenarios.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Providing data confidentiality for energyconstrained devices has proven to be a hard problem. Over the years many efficient implementations of well-known block ciphers, as well as a large number of new “lightweight” block ciphers, have been introduced. We propose to distribute block ciphers encryption and decryption operations between a subset of “trusted” nodes. Any block cipher, lightweight or not, can benefit from it. In particular, we analyze the energy consumption of AES128 in Cipher Block Chaining (CBC) mode and measure the energy savings that a distributed computation of AES128-CBC can give. We show that, by leveraging this distributed computation, a node can save up to 73% and up to 81% of the energy normally spent in encryption and decryption, respectively. This has relevant implications in Internet of Things scenarios.
2014
Federico Parisi; Gianluigi Ferrari; Matteo Giuberti; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro
Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians Inproceedings
In: Proc. of 9th International Conference on Body Area Networks (BODYNETS), London, Great Britain, 2014.
@inproceedings{PaFeGiCoCiAzAlMa14,
title = {Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians},
author = {Federico Parisi and Gianluigi Ferrari and Matteo Giuberti and Laura Contin and Veronica Cimolin and Corrado Azzaro and Giovanni Albani and Alessandro Mauro},
url = {http://dx.doi.org/10.4108/icst.bodynets.2014.257054},
year = {2014},
date = {2014-11-21},
booktitle = {Proc. of 9th International Conference on Body Area Networks (BODYNETS)},
address = {London, Great Britain},
abstract = {In this paper, we focus on the Gait Analysis (GA) for patients affected by Parkinson's Disease (PD) using a wireless Body Sensor Network (BSN) equipped with Inertial Measurement Units (IMUs). We estimate spatio-temporal parameters and other kinematic variables to characterize the gait, in both Parkinsonians and healthy people. Gait features are compared with scores assigned by neurologists within the Unified Parkinson's Disease Rating Scale (UPDRS), with the ultimate goal of automatically determining the UPDRS score of the Gait Task (GT) carried out by Parkinsonians. Preliminary results show a high correlation between a few gait parameters (such as double support, stride length, and thigh range of rotation) and UPDRS scores.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we focus on the Gait Analysis (GA) for patients affected by Parkinson's Disease (PD) using a wireless Body Sensor Network (BSN) equipped with Inertial Measurement Units (IMUs). We estimate spatio-temporal parameters and other kinematic variables to characterize the gait, in both Parkinsonians and healthy people. Gait features are compared with scores assigned by neurologists within the Unified Parkinson's Disease Rating Scale (UPDRS), with the ultimate goal of automatically determining the UPDRS score of the Gait Task (GT) carried out by Parkinsonians. Preliminary results show a high correlation between a few gait parameters (such as double support, stride length, and thigh range of rotation) and UPDRS scores.
Giacomo Brambilla; Marco Picone; Simone Cirani; Michele Amoretti; Francesco Zanichelli
A Simulation Platform for Large-Scale Internet of Things Scenarios in Urban Environments Inproceedings
In: The First International Conference on IoT in Urban Space (URB-IOT 2014), October 2014, pp. 50-55, ACM, 2014.
@inproceedings{urbIoTDEUS,
title = {A Simulation Platform for Large-Scale Internet of Things Scenarios in Urban Environments},
author = {Giacomo Brambilla and Marco Picone and Simone Cirani and Michele Amoretti and Francesco Zanichelli},
url = {https://dl.acm.org/doi/10.4108/icst.urb-iot.2014.257268},
doi = {10.4108/icst.urb-iot.2014.257268},
year = {2014},
date = {2014-10-27},
booktitle = {The First International Conference on IoT in Urban Space (URB-IOT 2014), October 2014},
pages = {50-55},
publisher = {ACM},
abstract = {The Internet of Things (IoT) refers to the interconnection of billions of IP-enabled devices, denoted as "smart objects", with limited capabilities, in terms of computational power and memory capacity, which typically operate in constrained environments, in an Internet-like structure. Large-scale systems and applications that rely on such a high number of devices, due to their complexity, need careful analysis and test, before being deployed to target environments. Traditional IoT simulators do not focus on the simulation of large scale deployments, as they are intended to evaluate and analyze low-level networking aspects, with groups of smart objects arranged in specific topologies. In this paper, we illustrate an efficient simulation methodology, which is particularly suitable to test IoT systems with a large number of interconnected devices in Urban environments from an application-layer perspective. The main advantages of such an approach are: i) the capability to simulate large-scale systems with thousands of geographically distributed devices; ii) the maximization of code reuse; and iii) the high generality of simulated nodes, which can be characterized by multiple network interfaces and protocols, as well as different mobility, network, and energy consumption models.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The Internet of Things (IoT) refers to the interconnection of billions of IP-enabled devices, denoted as "smart objects", with limited capabilities, in terms of computational power and memory capacity, which typically operate in constrained environments, in an Internet-like structure. Large-scale systems and applications that rely on such a high number of devices, due to their complexity, need careful analysis and test, before being deployed to target environments. Traditional IoT simulators do not focus on the simulation of large scale deployments, as they are intended to evaluate and analyze low-level networking aspects, with groups of smart objects arranged in specific topologies. In this paper, we illustrate an efficient simulation methodology, which is particularly suitable to test IoT systems with a large number of interconnected devices in Urban environments from an application-layer perspective. The main advantages of such an approach are: i) the capability to simulate large-scale systems with thousands of geographically distributed devices; ii) the maximization of code reuse; and iii) the high generality of simulated nodes, which can be characterized by multiple network interfaces and protocols, as well as different mobility, network, and energy consumption models.
Pietro Gonizzi; Paolo Medagliani; Gianluigi Ferrari; Jérémie Leguay
RAWMAC: A Routing Aware Wave-based MAC protocol for WSNs Conference
International Workshop on the GReen Optimized Wireless Networks (GROWN 2014), in conjunction with the 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2014), IEEE, 2014, (Larnaca, Cyprus, 8-10 October 2014).
@conference{GoMeFeLe2014,
title = {RAWMAC: A Routing Aware Wave-based MAC protocol for WSNs},
author = {Pietro Gonizzi and Paolo Medagliani and Gianluigi Ferrari and Jérémie Leguay},
url = {https://ieeexplore.ieee.org/document/6962172},
doi = {10.1109/WiMOB.2014.6962172},
year = {2014},
date = {2014-10-08},
booktitle = {International Workshop on the GReen Optimized Wireless Networks (GROWN 2014), in conjunction with the 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2014)},
journal = {International Workshop on the GReen Optimized Wireless Networks (GROWN 2014)},
publisher = {IEEE},
abstract = {In Wireless Sensor Networks (WSNs) for monitoring applications, energy saving and fast data collection are two challenging tasks. Asynchronous radio duty cycling protocols can achieve very low energy consumption in low traffic conditions and they are fault-tolerant to clock drifts. However, they may exhibit a delay degradation due to the decoupled wake-up periods of the nodes. In this paper, we present RAWMAC, a cross-layer approach where RPL, a tree-based routing protocol, orchestrates the asynchronous duty-cycled ContikiMAC MAC layer. The wake-up instants of the nodes are dynamically aligned, with respect to the RPL topology, to minimize the delay for data collection. We implement RAWMAC for the Contiki operating system and we analyze the impact of several key system parameters. Results show that RAWMAC outperforms ContikiMAC in terms of delay for data collection, while keeping the same performance in terms of throughput and energy consumption.},
note = {Larnaca, Cyprus, 8-10 October 2014},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In Wireless Sensor Networks (WSNs) for monitoring applications, energy saving and fast data collection are two challenging tasks. Asynchronous radio duty cycling protocols can achieve very low energy consumption in low traffic conditions and they are fault-tolerant to clock drifts. However, they may exhibit a delay degradation due to the decoupled wake-up periods of the nodes. In this paper, we present RAWMAC, a cross-layer approach where RPL, a tree-based routing protocol, orchestrates the asynchronous duty-cycled ContikiMAC MAC layer. The wake-up instants of the nodes are dynamically aligned, with respect to the RPL topology, to minimize the delay for data collection. We implement RAWMAC for the Contiki operating system and we analyze the impact of several key system parameters. Results show that RAWMAC outperforms ContikiMAC in terms of delay for data collection, while keeping the same performance in terms of throughput and energy consumption.
Mattia Antonini; Simone Cirani; Gianluigi Ferrari; Paolo Medagliani; Marco Picone; Luca Veltri
Lightweight Multicast Forwarding for Service Discovery in Low-power IoT Networks Inproceedings
In: IEEE 22st International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split (Croatia), September 17-19, 2014 , pp. 133-138, IEEE, 2014, (Split, Croatia, September 2014).
@inproceedings{softcom14Multicast,
title = {Lightweight Multicast Forwarding for Service Discovery in Low-power IoT Networks},
author = {Mattia Antonini and Simone Cirani and Gianluigi Ferrari and Paolo Medagliani and Marco Picone and Luca Veltri},
url = {https://ieeexplore.ieee.org/document/7039103},
doi = {10.1109/SOFTCOM.2014.7039103},
year = {2014},
date = {2014-09-17},
booktitle = {IEEE 22st International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split (Croatia), September 17-19, 2014 },
pages = {133-138},
publisher = {IEEE},
abstract = {The Internet of Things (IoT) will interconnect billions of devices (denoted as “Smart Objects,” SOs) in an IP-based Internet-like structure. SOs are typically sensor/actuator-equipped devices with severe constraints on processing capabilities, available RAM/ROM, and energy consumption. In a context where billions of deployed SOs, it is important that the SOs are able to self-configure and adapt to the surrounding environment with minimal, if any, external human intervention. Among the service discovery mechanisms proposed in literature for deploying SOs without any prior knowledge, Zeroconf represents a good candidate to automate service and resource discovery in local constrained environments. In this paper, we propose a lightweight forwarding algorithm for efficient multicast support in Low-power and Lossy Networks (LLNs) targeting service discovery for duty-cycled SOs. Among the advantages achieved by the proposed solution, SOs might benefit from smaller memory footprint with respect to those required by other multicast implementations. The performance of the proposed forwarding algorithm is evaluated through Contiki-based nodes in the Cooja simulator.},
note = {Split, Croatia, September 2014},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The Internet of Things (IoT) will interconnect billions of devices (denoted as “Smart Objects,” SOs) in an IP-based Internet-like structure. SOs are typically sensor/actuator-equipped devices with severe constraints on processing capabilities, available RAM/ROM, and energy consumption. In a context where billions of deployed SOs, it is important that the SOs are able to self-configure and adapt to the surrounding environment with minimal, if any, external human intervention. Among the service discovery mechanisms proposed in literature for deploying SOs without any prior knowledge, Zeroconf represents a good candidate to automate service and resource discovery in local constrained environments. In this paper, we propose a lightweight forwarding algorithm for efficient multicast support in Low-power and Lossy Networks (LLNs) targeting service discovery for duty-cycled SOs. Among the advantages achieved by the proposed solution, SOs might benefit from smaller memory footprint with respect to those required by other multicast implementations. The performance of the proposed forwarding algorithm is evaluated through Contiki-based nodes in the Cooja simulator.
Simone Cirani; Marco Picone; Luca Veltri
mjCoAP: An Open-Source Lightweight Java CoAP Library for Internet of Things Applications Inproceedings
In: IEEE 22st International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split (Croatia), September 2014, Springer, 2014.
@inproceedings{softcom14MJCoap,
title = {mjCoAP: An Open-Source Lightweight Java CoAP Library for Internet of Things Applications},
author = {Simone Cirani and Marco Picone and Luca Veltri},
url = {https://link.springer.com/chapter/10.1007/978-3-319-16546-2_10},
doi = {10.1007/978-3-319-16546-2_10},
year = {2014},
date = {2014-09-17},
booktitle = {IEEE 22st International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split (Croatia), September 2014},
issuetitle = {Lecture Notes in Computer Science, vol 9001},
publisher = {Springer},
abstract = {The Internet of Things (IoT) is expected to pervasively interconnect more than 50 billion devices, denoted as “smart objects”, by 2020 in an Internet-like structure, which will extend the current Internet, enabling new forms of interaction between physical objects and people. The IoT will be made up of heterogeneous devices, featuring extremely diverse capabilities, in terms of computational power, connectivity, availability, and mobility. In such a scenario, characterized by the heterogeneity and large number of involved devices, in order to effectively allow and foster the growth of new applications and services, it is necessary to provide appropriate standards that can guarantee full interoperability among existing hosts and IoT nodes. Standardization organizations, such as the Internet Engineering Task Force (IETF), and research projects are chartered to bring IP to smart objects and to define suitable application-layer and security protocols for IoT scenarios. In order to cope with the limitations of smart objects, the IETF CoRE Working Group has defined the Constrained Application Protocol (CoAP), a standard application-layer protocol for use with constrained nodes and constrained networks. In this work, we present mjCoAP, an open source lightweight Java-based implementation of CoAP, which aims at simplifying the development of CoAP-based IoT applications. The mjCoAP library is fully RFC-compliant and integrates several IETF CoRE WG specifications, such as blockwise transfers, resource observing, and HTTP/CoAP mapping. We also present some application scenarios and we describe how they can be easily implemented based on mjCoAP.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The Internet of Things (IoT) is expected to pervasively interconnect more than 50 billion devices, denoted as “smart objects”, by 2020 in an Internet-like structure, which will extend the current Internet, enabling new forms of interaction between physical objects and people. The IoT will be made up of heterogeneous devices, featuring extremely diverse capabilities, in terms of computational power, connectivity, availability, and mobility. In such a scenario, characterized by the heterogeneity and large number of involved devices, in order to effectively allow and foster the growth of new applications and services, it is necessary to provide appropriate standards that can guarantee full interoperability among existing hosts and IoT nodes. Standardization organizations, such as the Internet Engineering Task Force (IETF), and research projects are chartered to bring IP to smart objects and to define suitable application-layer and security protocols for IoT scenarios. In order to cope with the limitations of smart objects, the IETF CoRE Working Group has defined the Constrained Application Protocol (CoAP), a standard application-layer protocol for use with constrained nodes and constrained networks. In this work, we present mjCoAP, an open source lightweight Java-based implementation of CoAP, which aims at simplifying the development of CoAP-based IoT applications. The mjCoAP library is fully RFC-compliant and integrates several IETF CoRE WG specifications, such as blockwise transfers, resource observing, and HTTP/CoAP mapping. We also present some application scenarios and we describe how they can be easily implemented based on mjCoAP.
Laura Belli; Simone Cirani; Gianluigi Ferrari; Lorenzo Melegari; Marco Picone
A Graph-based cloud architecture for big stream real-time applications in the Internet of Things Inproceedings
In: 2nd International Workshop on CLoud for IoT (CLIoT 2014), Manchester, United Kingdom, September 2014, 2014.
@inproceedings{cliot14BigStream,
title = {A Graph-based cloud architecture for big stream real-time applications in the Internet of Things},
author = {Laura Belli and Simone Cirani and Gianluigi Ferrari and Lorenzo Melegari and Marco Picone},
year = {2014},
date = {2014-09-06},
booktitle = {2nd International Workshop on CLoud for IoT (CLIoT 2014), Manchester, United Kingdom, September 2014},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stefania Monica; Gianluigi Ferrari
An Experimental Model for UWB Distance Measurements and its Application to Localization Problems Inproceedings
In: 2014 IEEE International Conference on Ultra-Wideband (ICUWB 2014), Paris, France, 2014.
@inproceedings{Monica2014b,
title = {An Experimental Model for UWB Distance Measurements and its Application to Localization Problems},
author = {Stefania Monica and Gianluigi Ferrari},
year = {2014},
date = {2014-09-01},
booktitle = {2014 IEEE International Conference on Ultra-Wideband (ICUWB 2014)},
address = {Paris, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Giacomo Brambilla; Marco Picone; Michele Amoretti; Francesco Zanichelli
An Adaptive Peer-to-Peer Overlay Scheme for Location-based Services Inproceedings
In: IEEE 13th International Symposium on Network Computing and Applications (NCA 2014), Cambridge, MA, USA, 21-23 August 2014., 2014.
@inproceedings{adgt-nca-2014,
title = {An Adaptive Peer-to-Peer Overlay Scheme for Location-based Services },
author = {Giacomo Brambilla and Marco Picone and Michele Amoretti and Francesco Zanichelli},
year = {2014},
date = {2014-08-21},
booktitle = {IEEE 13th International Symposium on Network Computing and Applications (NCA 2014), Cambridge, MA, USA, 21-23 August 2014.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Simone Cirani; Luca Davoli; Marco Picone; Luca Veltri
Performance Evaluation of a SIP-based Constrained Peer-to-Peer Overlay Conference
International Conference on High Performance Computing & Simulation (HPCS), 5th International Workshop on Modeling and Simulation of Peer-to-Peer and Autonomic Systems (MOSPAS), July 21-25 2014, IEEE, 2014, ISBN: 978-1-4799-5312-7.
@conference{Cirani20140721,
title = {Performance Evaluation of a SIP-based Constrained Peer-to-Peer Overlay},
author = {Simone Cirani and Luca Davoli and Marco Picone and Luca Veltri},
url = {https://ieeexplore.ieee.org/document/6903717},
doi = {10.1109/HPCSim.2014.6903717},
isbn = {978-1-4799-5312-7},
year = {2014},
date = {2014-07-21},
booktitle = {International Conference on High Performance Computing & Simulation (HPCS), 5th International Workshop on Modeling and Simulation of Peer-to-Peer and Autonomic Systems (MOSPAS), July 21-25 2014},
pages = {432-435},
publisher = {IEEE},
abstract = {In recent years, due to the development and innovation in hardware and software, the scenario of a global worldwide network capable of interconnecting both traditional nodes and new Smart Objects (the Internet of Things) is coming true. The Internet of Things (IoT) will involve billions of communicating heterogeneous devices, using different protocols in order to enable new forms of interaction between things and people. In this context, due to scalability, fault-tolerance, and self-configuration requirements, peer-to-peer(P2P) architectures are very appealing in many large-scale IoT scenarios. However, due to memory, processing, and power limitations of constrained devices, the use of specific signaling protocols for the maintenance of the P2P overlay is a critical point. In this paper we present a performance evaluation of a real DHT-based P2P overlay in order to understand the benefits in terms of bandwidth consumption and transmitted/received data when a constrained SIP-based protocol, denoted as CoSIP, is used as P2P signaling protocol.},
key = {Internet of Things, Peer-to-Peer, SIP, CoAP, CoSIP},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In recent years, due to the development and innovation in hardware and software, the scenario of a global worldwide network capable of interconnecting both traditional nodes and new Smart Objects (the Internet of Things) is coming true. The Internet of Things (IoT) will involve billions of communicating heterogeneous devices, using different protocols in order to enable new forms of interaction between things and people. In this context, due to scalability, fault-tolerance, and self-configuration requirements, peer-to-peer(P2P) architectures are very appealing in many large-scale IoT scenarios. However, due to memory, processing, and power limitations of constrained devices, the use of specific signaling protocols for the maintenance of the P2P overlay is a critical point. In this paper we present a performance evaluation of a real DHT-based P2P overlay in order to understand the benefits in terms of bandwidth consumption and transmitted/received data when a constrained SIP-based protocol, denoted as CoSIP, is used as P2P signaling protocol.