计算机与现代化Issue(7)：81-84,4.DOI:10.3969/j.issn.1006-2475.2015.07.018
基于改进粒子群优化算法的无线传感器网络定位
Localization for Wireless Sensor Network Based on Modified Particle Swarm Optimization Algorithm
裴祥 1李巧君1
作者信息
- 1. 河南工业职业技术学院计算机工程系，河南 南阳 473000
- 折叠
摘要
Abstract
The third stage in classical DV-Hop location algorithm has big localization error, so this paper puts forward a localiza-tion method for wireless sensor network based on modified particle swarm optimization algorithm. Firstly, the defects of DV-Hop algorithm is analyzed, and the unknown nodes positioning problem is converted into the optimization problem, and then the modi-fied particle swarm optimization algorithm is used to optimize the problem, and the shrinkage factor is introduced to accelerate the search speed and precision, and find out the global optimal position of unknown nodes, finally the simulation experiment is car-ried out on Matlab 2012 platform. The simulation results show that the proposed algorithm improves the positioning accuracy of sensor nodes, and greatly reduces the positioning error.关键词
无线传感器网络/节点定位/改进粒子群优化算法/DV-Hop算法Key words
wireless sensor network/node localization/modified particle swarm optimization algorithm/DV-Hop algorithm分类
信息技术与安全科学引用本文复制引用
裴祥,李巧君..基于改进粒子群优化算法的无线传感器网络定位[J].计算机与现代化,2015,(7):81-84,4.
