Table of Contents Author Guidelines Submit a Manuscript
Journal of Sensors
Volume 2017 (2017), Article ID 3089402, 9 pages
Research Article

A Biologically Inspired Energy-Efficient Duty Cycle Design Method for Wireless Sensor Networks

College of Information Science and Technology, Shihezi University, Shihezi, China

Correspondence should be addressed to Jie Zhou

Received 4 February 2017; Revised 30 March 2017; Accepted 26 April 2017; Published 28 June 2017

Academic Editor: Gabriele Cazzulani

Copyright © 2017 Jie Zhou. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The recent success of emerging wireless sensor networks technology has encouraged researchers to develop new energy-efficient duty cycle design algorithm in this field. The energy-efficient duty cycle design problem is a typical NP-hard combinatorial optimization problem. In this paper, we investigate an improved elite immune evolutionary algorithm (IEIEA) strategy to optimize energy-efficient duty cycle design scheme and monitored area jointly to enhance the network lifetimes. Simulation results show that the network lifetime of the proposed IEIEA method increased compared to the other two methods, which means that the proposed method improves the full coverage constraints.