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Vol. 168, Issue 4, April 2014, pp. 179-184

 

Bullet

 

Improved Differential Evolution Algorithm for Wireless Sensor Network
Coverage Optimization
 

1, 2 Xing Xu, 3 Hao Hu, 4 Yu Wu, 5 Weiqin Ying, 1 Yang Zhou

1 College of Information & Engineering, Jingdezhen Ceramic Institute, 333403, China
2 State Key Laboratory of Software Engineering, Wuhan University, 430072, China
3 Library of Huaihua University, 418000, China
4 School of Computer Science and Education Software, Guangzhou University, 510006, China
5 School of Software Engineering, South China University of Technology, Guangzhou 510006, China
1 Tel.: 07988466611

E-mail: whuxx84@aliyun.com, 35434675@qq.com

 

Received: 15 January 2014 /Accepted: 7 April 2014 /Published: 30 April 2014

Digital Sensors and Sensor Sysstems

 

Abstract: In order to serve for the ecological monitoring efficiency of Poyang Lake, an improved hybrid algorithm, mixed with differential evolution and particle swarm optimization, is proposed and applied to optimize the coverage problem of wireless sensor network. And then, the affect of the population size and the number of iterations on the coverage performance are both discussed and analyzed. The four kinds of statistical results about the coverage rate are obtained through lots of simulation experiments.

 

Keywords: Differential evolution, Hybrid algorithm, Coverage optimization, Wireless sensor network, Particle swarm optimization.

 

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