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On the energy self-sustainability of IoT via distributed compressed sensing

Accepted version
Peer-reviewed

Type

Article

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Authors

Chen, W 
Deligiannis, N 
Andreopoulos, Y 
Wassell, IJ 

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.

Description

Keywords

distributed compressed sensing, energy harvesting, internet of things, energy self-sustainability

Journal Title

China Communications

Conference Name

Journal ISSN

1673-5447

Volume Title

17

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Rights

All rights reserved
Sponsorship
Engineering and Physical Sciences Research Council (EP/K033700/1)