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。
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.
出处
《计算机工程与应用》
CSCD
2013年第23期52-55,共4页
Computer Engineering and Applications
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
wireless sensor network
node localization
Multi-subpopulation Particle Swarm Optimization （MPSO） algorithm
DV-Hop algorithm
