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Vol. 164, Issue 2, February 2014, pp. 92-99




An Energy-Efficient Sleep Strategy for Target Tracking Sensor Networks

Juan FENG, Baowang LIAN, Hongwei ZHAO

School of Electronic Information Northwestern Polytechnical University, Xi’an, 710072, P. R China
Tel.: 02988827318, fax: 02988827302

E-mail: fengjuankh@hotmail.com


Received: 15 November 2013 /Accepted: 28 January 2014 /Published: 28 February 2014

Digital Sensors and Sensor Sysstems


Abstract: Energy efficiency is very important for sensor networks since sensor nodes have limited energy supply from battery. So far, many researches have been focused on this issue, while less emphasis was placed on the optimal sleep time of each node. This paper proposed an adaptive energy conservation strategy for target tracking based on a grid network structure, where each node autonomously determines when and if to sleep. It allows sensor nodes far away from targets to sleep to save energy and guarantee the tracking accuracy. The proposed approach extend network lifetime by adopting an adaptive sleep scheduling scheme that combines the local power management (PM) and the adaptive coordinate PM strategies to schedule the activities of sensor nodes. And each node can choose an optimal sleep time so as to make system adaptive and energy-efficient. We show the performance of our approach in terms of energy drop, comparing it to a naive approach, dynamic PM with fixed sleep time and the coordinate PM strategies. From the experimental results, it is readily seen that the efficiency of the proposed approach.


Keywords: Energy efficiency, Target tracking, WSN, Sleep strategy, Power management.


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