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基于MPSO—DV-Hop的无线传感器节点定位
引用本文:周天绮,姜凤茹.基于MPSO—DV-Hop的无线传感器节点定位[J].计算机工程与应用,2013(23):52-55.
作者姓名:周天绮  姜凤茹
作者单位:[1]浙江长征职业技术学院计算机与信息技术系,杭州310023 [2]河南牧业经济学院应用电子系,郑州450044
摘    要:节点定位技术是无线传感器网络的关键技术,为减小DV-Hop算法的节点定位误差,提出一种多子群粒子群(MPSO)算法优化DV-Hop的节点定位算法(MPSO.DV-Hop)。通过设置门限值修正节点间的跳数,提高了跳段距离估算精度,DV-Hop的第3阶段引入MPSO算法,对节点定位误差进行校正,通过引入多子群加快算法收敛速度,提高DV-Hop算法的节点定位精度,在MATLAB2008平台上对算法仿真分析。结果表明,MPSO—DV-Hop算法在不增加成本情况下,提高了传感器的节点定位精度,具有较高的应用价值。

关 键 词:无线传感网络  节点定位  多子群粒子群优化算法  DV-Hop算法

Node localization of wireless sensor network based on MPSO-DV-Hop.
ZHOU Tianqi,JIANG Fengru.Node localization of wireless sensor network based on MPSO-DV-Hop.[J].Computer Engineering and Applications,2013(23):52-55.
Authors:ZHOU Tianqi  JIANG Fengru
Affiliation:1.Department of Computer and Information Technology, Zhejiang Changzheng Professional & Technical College, Hangzhou 310023, China 2.Department of Applications Electronics, Henan University of Animal Husbandry and Economy, Zhengzhou 450044, China)
Abstract:Localization is one of most important technolony of wireless sensor network, in order to reduce the error of node localization for DV-Hop algorithm in wireless sensor networks, a node localization algorithm based on Multi-population Particle Swarm Optimization(MPSO) algorithm and DV-Hop algorithm is proposed. The hops between nodes are modified by threshold value to improve the estimating accuracy of the hop distance, and then in the third stage of DV-Hop algorithm which MPSO algorithm is used to correct the localization error, the simulation analysis of MPSO-DV-Hop algorithm is carried out on MATLAB2008. The results show that the algorithm can improve the localization accuracy of the sensor without increasing cost situation. It has a high pratical value.
Keywords:wireless sensor network  node localization  Multi-subpopulation Particle Swarm Optimization (MPSO) algorithm  DV-Hop algorithm
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