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Energy consumption of visual sensor networks: impact of spatio-temporal coverage

Redondi, A; Buranapanichkit, D; Cesana, M; Tagliasacchi, M; Andreopoulos, Y; (2014) Energy consumption of visual sensor networks: impact of spatio-temporal coverage. IEEE Transactions on Circuits and Systems for Video Technology , 24 (12) pp. 2117-2131. 10.1109/TCSVT.2014.2329378. Green open access

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Abstract

Wireless visual sensor networks (VSNs) are expected to play a major role in future IEEE 802.15.4 personal area networks (PANs) under recently established collision-free medium access control (MAC) protocols, such as the IEEE 802.15.4e-2012 MAC. In such environments, the VSN energy consumption is affected by a number of camera sensors deployed (spatial coverage), as well as a number of captured video frames of which each node processes and transmits data (temporal coverage). In this paper we explore this aspect for uniformly formed VSNs, that is, networks comprising identical wireless visual sensor nodes connected to a collection node via a balanced cluster-tree topology, with each node producing independent identically distributed bitstream sizes after processing the video frames captured within each network activation interval. We derive analytic results for the energy-optimal spatiooral coverage parameters of such VSNs under a priori known bounds for the number of frames to process per sensor and the number of nodes to deploy within each tier of the VSN. Our results are parametric to the probability density function characterizing the bitstream size produced by each node and the energy consumption rates of the system of interest. Experimental results are derived from a deployment of TelosB motes and reveal that our analytic results are always within 7%of the energy consumption measurements for a wide range of settings. In addition, results obtained via motion JPEG encoding and feature extraction on a multimedia subsystem (BeagleBone Linux Computer) show that the optimal spatiooral settings derived by our framework allow for substantial reduction of energy consumption in comparison with ad hoc settings.

Type: Article
Title: Energy consumption of visual sensor networks: impact of spatio-temporal coverage
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TCSVT.2014.2329378
Publisher version: http://dx.doi.org/ 10.1109/TCSVT.2014.2329378
Language: English
Additional information: Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Energy consumption, Visualization, Multimedia communication, Relays, Streaming media, Cameras, Topology
UCL classification: UCL
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/1462604
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