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基于粒子群算法的无线传感网络覆盖优化策略
引用本文:林祝亮,冯远静.基于粒子群算法的无线传感网络覆盖优化策略[J].计算机仿真,2009,26(4).
作者姓名:林祝亮  冯远静
作者单位:1. 浙江工业大学信息学院,浙江,杭州,310032;浙江师范大学电气自动化研究中心,浙江,金华,321004
2. 浙江工业大学信息学院,浙江,杭州,310032
基金项目:浙江省自然科学基金,浙江省教育厅资助项目 
摘    要:无线传感器网络覆盖控制是研究在保证服务质量条件下,为了实现网络覆盖范围的最大化.采用覆盖优化策略及算法的应用,有助于网络节点能量的有效控制、感知服务质最的提高和网络生存时间的延长.提出基于概率测量模型的粒子群优化策略,以网络有效覆盖率为优化目标,通过粒子群算法实现覆盖控制并详细分析了传感半径对覆盖性能的影响.仿真实验表明,粒子群优化策略的有效覆盖率达到了85.63%,能有效地实现无线传感网络覆盖优化.

关 键 词:无线传感网络  粒子群算法  有效覆盖率  优化策略

Optimization Strategy of Wireless Sensor Networks Coverage Based on Particle Swarm Algorithm
LIN Zhu-liang,FENG Yuan-jing.Optimization Strategy of Wireless Sensor Networks Coverage Based on Particle Swarm Algorithm[J].Computer Simulation,2009,26(4).
Authors:LIN Zhu-liang  FENG Yuan-jing
Affiliation:1.Information College of Zhejiang University of Technology;Hangzhou Zhejiang 310032;China;2.Research Center of Electric Automation;Zhejiang Normal University;Jinhua Zhejiang 321004;China
Abstract:Wireless sensor networks(WSNs) coverage control is a study of how to maximize the network coverage to provide reliable monitoring and tracking services with guaranteed quality of service.The application of optimization algorithm is helpful to effectively control the network nodes energy,improve the perceived quality of services,and extend the network survival time.This paper presents a particle swarm optimization(PSO) strategy based on the probability measuring model to achieve optimized coverage.The simula...
Keywords:WSNs  PSO  Effective coverage rate  Optimization strategy  
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