计算机应用与软件Issue(4)：69-72,4.DOI:10.3969/j.issn.1000-386x.2014.04.018
改进型粒子群优化在WSNs节点定位中的应用
APPLICATION OF MODIFIED PARTICLE SWARM OPTIMISATION IN NODE LOCATING OF WIRELESS SENSOR NETWORKS
摘要
Abstract
Aiming at the problem of node localisation precision under the influence of ranging error in wireless sensor networks (WSNs), a new self-localisation method based on modified particle swarm optimisation is proposed.The new method uses range information between the unknown node and the nearby anchor node and gets the unknown node location through the modified particle swarm optimisation with local prematurity prevention ability.Simulation results show that,the modified particle swarm optimisation,compared with the least square estimation method,has higher accuracy and speed in localisation as well as stable performance.It is a feasible WSNs node positioning solution.关键词
粒子群优化算法/无线传感器网络/节点定位/非一致性变异Key words
Particle swarm optimisation/Wireless sensor networks/Node localisation/Inconsistent mutation分类
信息技术与安全科学引用本文复制引用
李凌燕,杜永贵..改进型粒子群优化在WSNs节点定位中的应用[J].计算机应用与软件,2014,(4):69-72,4.基金项目
山西省自然科学基金项目（2011011011-1）。 （）
