粒子群优化算法在无线传感节点的部署应用探讨  

Application of Particle Swarm Optimization Algorithm in Wireless Sensor Nodes Deployment

作　　者：纪芩[1] 俞智慧[2] 

机构地区：[1]江西省电子信息产品监督检验院,江西南昌330003 [2]上饶师范学院数学与计算机科学学院,江西上饶334001

出　　处：《科技广场》2012年第9期19-23,共5页Science Mosaic

摘　　要：群智能算法良好的自适应性与移动传感节点部署所需的组织性具有相似性。作为群智能算法的一种,粒子群优化算法具有结构简单、实现容易、易于收敛等特点。无线传感网络研究的关键问题之一是如何动态部署移动节点,达到提高无线传感网络覆盖率和降低节点移动能耗。本文介绍了粒子群优化算法与无线传感节点部署的相关知识,并对粒子群优化算法应用于无线传感节点部署问题进行了探讨。The good adaptability of swarm intelligence algorithm is similar to the desired organization of mobile sensor node deployment. As a kind of swarm intelligence algorithm, particle swarm optimization algorithm has the advantages of simple structure, easy realization, and easy convergence. One of the key problems of wireless sensor network research is how to improve the dynamic deployment of mobile nodes, so as to improve the wireless sensor network coverage and reduce the energy consumption of the mobile node. This paper introduces the particle swarm optimization algorithm and the wireless sensor node deployment, and discusses related problems which the particle swarm optimization algorithm is applied to.

关 键 词：粒子群优化算法 无线传感网络 节点部署 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]