Energy-Efficient deployment of mobile sensor networks by PSO

Authors:
Xiaoling Wu;Shu Lei;Wang Jin;Jinsung Cho;Sungyoung Lee
Affiliations:
Department of Computer Engineering, Kyung Hee University, Korea;Department of Computer Engineering, Kyung Hee University, Korea;Department of Computer Engineering, Kyung Hee University, Korea;Department of Computer Engineering, Kyung Hee University, Korea;Department of Computer Engineering, Kyung Hee University, Korea
Venue:
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Year:
2006

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Abstract

Sensor deployment is an important issue in designing sensor networks. In this paper, particle swarm optimization (PSO) approach is applied to maximize the coverage based on a probabilistic sensor model in mobile sensor networks and to reduce cost by finding the optimal positions for the cluster-head nodes based on a well-known energy model. During the coverage optimization process, sensors move to form a uniformly distributed topology according to the execution of algorithm at base station. The simulation results show that PSO algorithm has faster convergence rate than genetic algorithm based method while achieving the goal of energy efficient sensor deployment.