Coverage Optimization of Hybrid Wireless Sensor Networks Based on Modified Particle Swarm Algorithm

Su Fen Yao; Jian Qiang Zhao

doi:10.4028/www.scientific.net/AMR.846-847.914

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Coverage Optimization of Hybrid Wireless Sensor...

Coverage Optimization of Hybrid Wireless Sensor Networks Based on Modified Particle Swarm Algorithm

Abstract:

A strategy for controlling mobile nodes based on PSO algorithm with neighborhood disturbance was proposed for improving the network coverage rate in wireless sensor networks. The non-dominated sorting strategy was led into basic PSO algorithm to seek best particle and adaptive neighborhood disturbance operation was used to conquer the drawback of PSO falling into local optimum. Therefore, the effect of network coverage had been improved and the network energy consumption can be reduced.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

914-917

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.914

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Online since:

November 2013

Authors:

Su Fen Yao*, Jian Qiang Zhao

Keywords:

Coverage, Multiple Objective Optimization, Neighborhood Disturbance, Wireless Sensor Network (WSN)

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* - Corresponding Author

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