计算机工程与应用Issue(18)：99-102,4.DOI:10.3778/j.issn.1002-8331.1402-0079
改进粒子群算法的无线传感器网络节点定位
Localization in wireless sensor network based on improved particle swarm optimiza-tion algorithm
摘要
Abstract
In order to improve the localization accuracy, a novel localization meothd in wireless sensor network based on improved particle swarm optimization algorithm is proposed. The average of the location of the node in the last generation and the location of the same node in the current generation is regarded as the current generation node location following with the criteria of choosing beacon nodes, and the improved particle swarm optimization algorithm is used to optimize the localization results. The simulation experiments are carried out. The results show that the proposed algorithm not only fastens the localization speed and has improved the localization accuracy effectively compared with the PSO algorithm, so it has wider application range.关键词
无线传感器网络/改进粒子群优化(MPSO)算法/分布式迭代平均定位/定位误差Key words
wireless sensor networks/Modified Particle Swarm Optimization(MPSO)algorithm/distributed iterative average localization/localization error分类
信息技术与安全科学引用本文复制引用
王亚子,杨建辉..改进粒子群算法的无线传感器网络节点定位[J].计算机工程与应用,2014,(18):99-102,4.基金项目
周口师范学院青年科学基金重点资助项目（No.zksyqn201310B）；河南省人民政府人才培养联合基金项目（No.U1204618）。 （）
