PSO based wireless sensor networks coverage optimization on DEMs

Authors:
Wenli Li
Affiliations:
School of Information Engineering, Nanchang Institute of Technology, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Year:
2011

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Abstract

Wireless Sensor Networks (WSNs) coverage optimization is to maximize the coverage of WSNs while keeping service quality. This paper extends the problem to 2.5D and studies PSO based WSNs coverage optimization on Digital Elevation Models (DEMs). To compute network coverage on DEMs, a method of computing individual sensor node coverage is introduced. This paper also proposes an improved algorithm based on Dissipative Particle Swarm Optimization (DPSO). Simulation experiments show that the algorithm can effectively improve WSNs coverage on DEMs.