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Network Clustering and Cluster Control in Energy Harvesting Wireless Video Sensor Networks

Authors:
Hwan-hee Lee
Keon-woo Park
Doo-sik Kang
Myeong-jin Lee

Keywords: wireless video sensor network; energy harvesting; energy balance; joint distortion-energy control model.

Abstract:
A novel network clustering and cluster control algorithm is proposed for energy harvesting wireless video sensor networks. For inter-cluster energy balance, video sensor nodes are clustered based on their distance from a base station. For intra-cluster energy balance, a cluster head selects a cluster member with the largest residual battery level as the next cluster head. For minimum energy consumption of a cluster, control parameters for all cluster members in each cluster are decided by joint distortion-energy control model of video sensor nodes. From simulation results, the proposed algorithm is shown to keep both inter-cluster and intra-cluster energy balance, and to enable perpetual operation of energy-harvesting wireless video sensor networks.

Pages: 65 to 68

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-546-3

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017