Casanova-Marqués, Raúl; Torres-Sospedra, Joaquín; Hajny, Jan; Gould, Michael Maximizing privacy and security of collaborative indoor positioning using zero-knowledge proofs Journal Article Internet of Things, 22 , pp. 100801, 2023, ISSN: 2542-6605. Abstract | Links | BibTeX @article{Casanova2023a,
title = {Maximizing privacy and security of collaborative indoor positioning using zero-knowledge proofs},
author = {Raúl Casanova-Marqués and Joaquín Torres-Sospedra and Jan Hajny and Michael Gould},
doi = {https://doi.org/10.1016/j.iot.2023.100801},
issn = {2542-6605},
year = {2023},
date = {2023-07-01},
journal = {Internet of Things},
volume = {22},
pages = {100801},
abstract = {The increasing popularity of wearable-based Collaborative Indoor Positioning Systems (CIPSs) has led to the development of new methods for improving positioning accuracy. However, these systems often rely on protocols, such as iBeacon, that lack sufficient privacy protection. In addition, they depend on centralized entities for the authentication and verification processes. To address the limitations of existing protocols, this paper presents a groundbreaking contribution to the field of wearable-based CIPSs. We propose a decentralized Attribute-based Authentication (ABA) protocol that offers superior levels of privacy protection, untraceability, and unlinkability of user actions. Unlike existing protocols that rely on centralized entities, our approach leverages decentralized mechanisms for authentication and verification, ensuring the privacy of user location data exchange. Through extensive experimentation across multiple platforms, our results demonstrate the practicality and feasibility of the proposed protocol for real-world deployment. Overall, this work opens up new avenues for secure and privacy-preserving wearable-based CIPSs, with potential implications for the rapidly growing field of Internet of Things (IoT) applications.},
keywords = {},
pubstate = {published},
tppubtype = {article}
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The increasing popularity of wearable-based Collaborative Indoor Positioning Systems (CIPSs) has led to the development of new methods for improving positioning accuracy. However, these systems often rely on protocols, such as iBeacon, that lack sufficient privacy protection. In addition, they depend on centralized entities for the authentication and verification processes. To address the limitations of existing protocols, this paper presents a groundbreaking contribution to the field of wearable-based CIPSs. We propose a decentralized Attribute-based Authentication (ABA) protocol that offers superior levels of privacy protection, untraceability, and unlinkability of user actions. Unlike existing protocols that rely on centralized entities, our approach leverages decentralized mechanisms for authentication and verification, ensuring the privacy of user location data exchange. Through extensive experimentation across multiple platforms, our results demonstrate the practicality and feasibility of the proposed protocol for real-world deployment. Overall, this work opens up new avenues for secure and privacy-preserving wearable-based CIPSs, with potential implications for the rapidly growing field of Internet of Things (IoT) applications. |
Pascacio-de-los-Santos, Pavel Collaborative Techniques for Indoor Positioning Systems PhD Thesis Universitat Jaume I. INIT, 2023, ISBN: 978-952-03-2905-1. Abstract | Links | BibTeX @phdthesis{Pascacio2023a,
title = {Collaborative Techniques for Indoor Positioning Systems},
author = {Pavel Pascacio-de-los-Santos},
url = {http://hdl.handle.net/10803/688489},
doi = {http://dx.doi.org/10.6035/14124.2023.821144},
isbn = {978-952-03-2905-1},
year = {2023},
date = {2023-06-09},
school = {Universitat Jaume I. INIT},
abstract = {This doctoral thesis focuses on developing and evaluating mobile device-based collaborative techniques to enhance the position accuracy of traditional indoor positioning systems based on RSSI (i.e., lateration and fingerprinting) in real-world conditions. During the research, first, a comprehensive systematic review of Collaborative Indoor Positioning Systems (CIPSs) was conducted to obtain a state-of-the-art; second, extensive experimental data collections considering mobile devices and collaborative scenarios were performed to create a mobile device-based BLE database and BLE and Wi-Fi radio maps for testing our collaborative and non-collaborative indoor positioning approaches; third, traditional methods to estimate distance and position were evaluated to present their limitations and challenges and two novel approaches to improve distance and positioning accuracy were proposed; finally, our proposed CIPSs using Multilayer Perceptron Artificial Neural Networks were developed to enhance the accuracy of BLE–RSSI lateration and fingerprinting-KNN methods and evaluated under real-world conditions to demonstrate its feasibility and benefits.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
This doctoral thesis focuses on developing and evaluating mobile device-based collaborative techniques to enhance the position accuracy of traditional indoor positioning systems based on RSSI (i.e., lateration and fingerprinting) in real-world conditions. During the research, first, a comprehensive systematic review of Collaborative Indoor Positioning Systems (CIPSs) was conducted to obtain a state-of-the-art; second, extensive experimental data collections considering mobile devices and collaborative scenarios were performed to create a mobile device-based BLE database and BLE and Wi-Fi radio maps for testing our collaborative and non-collaborative indoor positioning approaches; third, traditional methods to estimate distance and position were evaluated to present their limitations and challenges and two novel approaches to improve distance and positioning accuracy were proposed; finally, our proposed CIPSs using Multilayer Perceptron Artificial Neural Networks were developed to enhance the accuracy of BLE–RSSI lateration and fingerprinting-KNN methods and evaluated under real-world conditions to demonstrate its feasibility and benefits. |
Chukhno, Nadezhda; Chukhno, Olga; Moltchanov, Dmitri; Molinaro, Antonella; Gaidamaka, Yuliya; Samouylov, Konstantin; Koucheryavy, Yevgeni; Araniti, Giuseppe Optimal Multicasting in Millimeter Wave 5G NR With Multi-Beam Directional Antennas Journal Article IEEE Transactions on Mobile Computing, 22 (6), pp. 3572 - 3588, 2023, ISSN: 1558-0660. Abstract | Links | BibTeX @article{Chukhno2023a,
title = {Optimal Multicasting in Millimeter Wave 5G NR With Multi-Beam Directional Antennas},
author = {Nadezhda Chukhno and Olga Chukhno and Dmitri Moltchanov and Antonella Molinaro and Yuliya Gaidamaka and Konstantin Samouylov and Yevgeni Koucheryavy and Giuseppe Araniti},
doi = {10.1109/TMC.2021.3136298},
issn = {1558-0660},
year = {2023},
date = {2023-06-01},
journal = {IEEE Transactions on Mobile Computing},
volume = {22},
number = {6},
pages = {3572 - 3588},
abstract = {The support of multicast communications in the fifth-generation (5G) New Radio (NR) system poses unique challenges to system designers. Particularly, the highly directional antennas do not allow to serve all the user equipment devices (UEs) that belong to the same multicast session in a single transmission. The capability of modern antenna arrays to utilize multiple beams simultaneously, with potentially varying half-power beamwidth, adds a new degree of freedom to the UE scheduling. This work addresses the challenge of optimal multicasting in 5G millimeter wave (mmWave) systems by presenting a globally optimal solution for multi-beam antenna operation. The optimization problem is formulated as a special case of multi-period variable cost and size bin packing problem that allows to not impose any constraints on the number of the beams and their configurations. We also propose heuristic solutions having polynomial time complexity. Our results show that for small cell radii of up to 100 meters, a single beam is always utilized. For higher cell coverage and practical ranges of the number of users (5-50), the optimal number of beams is upper bounded by 3.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The support of multicast communications in the fifth-generation (5G) New Radio (NR) system poses unique challenges to system designers. Particularly, the highly directional antennas do not allow to serve all the user equipment devices (UEs) that belong to the same multicast session in a single transmission. The capability of modern antenna arrays to utilize multiple beams simultaneously, with potentially varying half-power beamwidth, adds a new degree of freedom to the UE scheduling. This work addresses the challenge of optimal multicasting in 5G millimeter wave (mmWave) systems by presenting a globally optimal solution for multi-beam antenna operation. The optimization problem is formulated as a special case of multi-period variable cost and size bin packing problem that allows to not impose any constraints on the number of the beams and their configurations. We also propose heuristic solutions having polynomial time complexity. Our results show that for small cell radii of up to 100 meters, a single beam is always utilized. For higher cell coverage and practical ranges of the number of users (5-50), the optimal number of beams is upper bounded by 3. |
Chukhno, Nadezhda; Chukhno, Olga; Pizzi, Sara; Molinaro, Antonella; Iera, Antonio; Araniti, Giuseppe Approaching 6G Use Case Requirements with Multicasting Journal Article IEEE Communications Magazine, 61 (5), pp. 144-150, 2023, ISSN: 1558-1896. Abstract | Links | BibTeX @article{Chukhno2023c,
title = {Approaching 6G Use Case Requirements with Multicasting},
author = {Nadezhda Chukhno and Olga Chukhno and Sara Pizzi and Antonella Molinaro and Antonio Iera and Giuseppe Araniti},
doi = {10.1109/MCOM.001.2200659},
issn = {1558-1896},
year = {2023},
date = {2023-05-01},
journal = {IEEE Communications Magazine},
volume = {61},
number = {5},
pages = {144-150},
abstract = {The shift towards 6G networks is expected to be accompanied by an increased capability to support group-oriented services, such as extended reality and holographic communications, in many different contexts, from high-precision manufacturing to healthcare and remote control. This range of applications will rely heavily on multicast and mixed multicast-broadcast delivery modes. This article focuses on the technological perspectives of 6G multicasting, highlighting requirements, challenges, and enabling solutions. We then run a simulation campaign to test practical solutions and draw conclusive remarks for forthcoming 6G multicast systems.},
keywords = {},
pubstate = {published},
tppubtype = {article}
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The shift towards 6G networks is expected to be accompanied by an increased capability to support group-oriented services, such as extended reality and holographic communications, in many different contexts, from high-precision manufacturing to healthcare and remote control. This range of applications will rely heavily on multicast and mixed multicast-broadcast delivery modes. This article focuses on the technological perspectives of 6G multicasting, highlighting requirements, challenges, and enabling solutions. We then run a simulation campaign to test practical solutions and draw conclusive remarks for forthcoming 6G multicast systems. |
Klus, Lucie From Compression of Wearable-based Data to Effortless Indoor Positioning PhD Thesis Tampere University. Faculty of Information Technology and Communication Sciences, 2023, ISBN: 978-952-03-2832-0. Abstract | Links | BibTeX @phdthesis{Klus2023a,
title = {From Compression of Wearable-based Data to Effortless Indoor Positioning},
author = {Lucie Klus},
url = {http://hdl.handle.net/10803/688947},
doi = {http://dx.doi.org/10.6035/14124.2023.45900046},
isbn = {978-952-03-2832-0},
year = {2023},
date = {2023-04-27},
school = {Tampere University. Faculty of Information Technology and Communication Sciences},
abstract = {In recent years, wearable devices have become ever-present in modern society. They
are typically defined as small, battery-restricted devices, worn on, in, or in very close
proximity to a human body. Their performance is defined by their functionalities as
much as by their comfortability and convenience. As such, they need to be compact
yet powerful, thus making energy efficiency an extremely important and relevant
aspect of the system. The market of wearable devices is nowadays dominated by
smartwatches and fitness bands, which are capable of gathering numerous sensorbased
data such as temperature, pressure, heart rate, or blood oxygen level, which
have to be processed in real-time, stored, or wirelessly transferred while consuming
as little energy as possible to ensure long battery life. Implementing compression
schemes directly at the wearable device is one of the relevant methods to reduce the
volume of data and to minimize the number of required operations while processing
them, as raw measurements include plenty of redundancies that can be removed
without damaging the useful information itself.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
In recent years, wearable devices have become ever-present in modern society. They
are typically defined as small, battery-restricted devices, worn on, in, or in very close
proximity to a human body. Their performance is defined by their functionalities as
much as by their comfortability and convenience. As such, they need to be compact
yet powerful, thus making energy efficiency an extremely important and relevant
aspect of the system. The market of wearable devices is nowadays dominated by
smartwatches and fitness bands, which are capable of gathering numerous sensorbased
data such as temperature, pressure, heart rate, or blood oxygen level, which
have to be processed in real-time, stored, or wirelessly transferred while consuming
as little energy as possible to ensure long battery life. Implementing compression
schemes directly at the wearable device is one of the relevant methods to reduce the
volume of data and to minimize the number of required operations while processing
them, as raw measurements include plenty of redundancies that can be removed
without damaging the useful information itself. |
