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APWEB
2006
Springer

Energy-Efficient Deployment of Mobile Sensor Networks by PSO

8 years 8 months ago
Energy-Efficient Deployment of Mobile Sensor Networks by PSO
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 clusterhead 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.
Xiaoling Wu, Shu Lei, Jin Wang, Jinsung Cho, Sungy
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where APWEB
Authors Xiaoling Wu, Shu Lei, Jin Wang, Jinsung Cho, Sungyoung Lee
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