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On the Energy Self-Sustainability of IoT via Distributed Compressed Sensing

Chen, W; Deligiannis, N; Andreopoulos, Y; Wassell, IJ; (2020) On the Energy Self-Sustainability of IoT via Distributed Compressed Sensing. China Communications , 17 (12) pp. 37-51. 10.23919/JCC.2020.12.003. Green open access

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Abstract

This paper advocates the use of the distributed compressed sensing (DCS) paradigm to deploy energy harvesting (EH) Internet of Thing (IoT) devices for energy self-sustainability. We consider networks with signal/energy models that capture the fact that both the collected signals and the harvested energy of different devices can exhibit correlation. We provide theoretical analysis on the performance of both the classical compressive sensing (CS) approach and the proposed distributed CS (DCS)-based approach to data acquisition for EH IoT. Moreover, we perform an in-depth comparison of the proposed DCS- based approach against the distributed source coding (DSC) system. These performance characterizations and comparisons embody the effect of various system phenomena and parameters including signal correlation, EH correlation, network size, and energy availability level. Our results unveil that, the proposed approach offers significant increase in data gathering capability with respect to the CS-based approach, and offers a substantial reduction of the mean-squared error distortion with respect to the DSC system.

Type: Article
Title: On the Energy Self-Sustainability of IoT via Distributed Compressed Sensing
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/JCC.2020.12.003
Publisher version: https://doi.org/10.23919/JCC.2020.12.003
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Distributed compressed sensing, energy harvesting, internet of things, energy self-sustainability.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10120991
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