摘要
基于DV-hop设计了一种节点的定位综合算法,并将其应用于移动节点。利用节点间估计距离和测量距离的差异构建位置校正矢量;通过改进的粒子群优化方法得到节点的校正步长;节点将其与位置校正矢量的乘积作为自身位置的校正值。通过仿真进行算法验证并分析了复杂度和有效性,结果证明该算法可以将DV-hop的定位误差下降75%,并且适用于稀疏网络。
An integrated algorithm based on DV-hop was designed and applied to mobile nodes. A location correction vector （LCV） was constructed by the differences between estimated distances and range measurements; an improved particle swarm optimization （PSO） was used to find correction steps of nodes; location correction equaled the value of LCV multiplying step. The algorithm and its complexity and validity had been approved through simulation, the results show that the localization error of DV-hop has been reduced by 75% using the algorithm, and it is also applicable to low-density networks.
出处
《通信学报》
EI
CSCD
北大核心
2008年第11期227-231,236,共6页
Journal on Communications
基金
国家自然科学基金资助项目(60674053)~~
关键词
无线传感器网络
定位
移动节点
位置校正矢量
粒子群优化
DV-HOP
wireless sensor networks
localization
mobile node
location correction vector
particle swarm optimization
DV-hop
