Title: Optimal coverage configuration with social emotional optimisation algorithm in wireless sensor networks
Authors: Zhihua Cui; Xingjuan Cai
Addresses: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi 030024, China; State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210093, China ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi 030024, China
Abstract: The optimal coverage problem plays an important role in wireless sensor networks. In this paper a new swarm intelligent technique, Social Emotional Optimisation Algorithm (SEOA), is used to solve the problem based on the probability measuring model. In SEOA, each individual represents a virtual person, and selects the behaviour according to the corresponding emotion index in each iteration. Simulation results showed that the effective coverage has reached 99.98%.
Keywords: social emotional optimisation; optimal coverage; wireless sensor networks; WSNs; wireless networks; swarm intelligence; emotion index; simulation.
International Journal of Wireless and Mobile Computing, 2011 Vol.5 No.1, pp.43 - 47
Available online: 09 Dec 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article