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Autonomic Duty Cycling for Target Tracking in a Bio-Inspired Wireless Sensor Network

Authors:
Camila Helena Souza Oliveira
Miguel Franklin de Castro

Keywords: Duty cycling, WSNs, Tracking

Abstract:
The evolution of new miniatured devices, increas- ingly cheaper and more efficient, is enabling the use of Wireless Sensor Networks (WSN) for different application scenarios, such as the Internet of Things. However, even when nodes are deployed with a high degree of redundancy, common in target tracking applications, energy management is still a challenge for research. In order to optimize energy consumption in this dense network scenario, duty cycling mechanisms arise as an efficient solution to improve and maximize the WSN lifetime. In this paper, a new autonomic duty cycling mechanism called BioSched is proposed, aiming at simplicity, robustness and scalability. The mechanism is implemented over Biologically-inspired Optimization for Sensor network Lifetime (BiO4SeL), an autonomic routing protocol based on Ant Colony heuristics designed to optimize WSN lifetime. Based on the routes found by the ants in BiO4SeL, BioSched puts a subset of nodes with less residual energy to sleep while ensuring good delivery rate. Results show that the proposed duty scheduling enhances BiO4SeL in network energy saving and lifetime, and also outruns a related duty cycling algorithm called EC-CKN (Energy Consumed uniformly-Connected K-Neighborhood).

Pages: 112 to 118

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-399-5

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2015