摘要
为了减少无线传感器网络节点的定位误差,提出一种分群粒子群优化(GPSO)算法修正DV-Hop误差的传感器节点定位方法(GPSO-DVHop)。提出一种节点距离修正值策略,减少未知节点与锚节点间距离的估计误差,采用GPSO算法修正DV-Hop的节点定位误差,最后在Matlab 2012平台上对算法性能仿真分析。相对于对比传感器定位方法,GPSO-DVHop提高了传感器节点定位精度,仿真结果验证了GPSO-DVHop的有效性。
In order to reduce localization error of the wireless sensor network node, a novel localization method of the wireless sensor network node is proposed based on improved DV-Hop（GPSO-DVHop） which localization error is corrected by grouping particle swarm optimization （GPSO）. A node distance correction strategy is introduced to reduce estimation error of the distance between unknown node and anchor node, and then the node localization error of DV-Hop algorithm is corrected by GPSO algo- rithm. The performance of the method is analyzed on Matlab 2012. Compared with other localization methods, the proposed method has improved localization accuracy of the sensor node, and the results show the effectiveness of the proposed method.
出处
《计算机工程与应用》
CSCD
2013年第22期95-99,共5页
Computer Engineering and Applications
基金
浙江省教育技术研究规划课题(No.JB083)
关键词
无线传感器网络
DV-HOP算法
分群粒子群优化算法
定位精度
wireless sensor network
DV-Hop algorithm
grouping particle swarm optimization algorithm
localization precision
