Coverage Optimization Methods in Wireless Homo-Sensor Network Based on Guided Swarms

Huan Yang Zheng

doi:10.4028/www.scientific.net/AMM.148-149.868

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 148-149Coverage Optimization Methods in Wireless...

Coverage Optimization Methods in Wireless Homo-Sensor Network Based on Guided Swarms

Abstract:

An improved particle swarm optimization (PSO) algorithm is designed for the grid based wireless homo-sensor network position problem. The proposed method, called guided method, introduces the simulation of migration process to PSO and its mutation algorithm, using a previous designed sparse position plan to guide the swarm to the optimization solution, and accelerates the search process. Experiments show not only the feasibility and validity of the proposed method but also a marked improvement in performance over traditional PSO.

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Periodical:

Applied Mechanics and Materials (Volumes 148-149)

Pages:

868-874

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.148-149.868

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Online since:

December 2011

Authors:

Huan Yang Zheng

Keywords:

Coverage Optimization, Guided Swarm, Migration, Particle Swarm Optimization Algorithm (PSO), Wireless Homo-Sensor Network Position

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