基于BADV-Hop的传感器节点定位方法

Nodes Localization Method of Wireless Sensor Networks Based on Bat-DVHop Algorithm

摘要:

针对无线传感器网络节点的定位误差较高的问题,提出蝙蝠算法校正DV-Hop算法的传感器节点定位精度提高方法(BADV-Hop);首先测量未知节点与锚节点之间的距离,然后采用DV-Hop算法初步确定未知节点的坐标,再采用蝙蝠算法校正DV-Hop算法的定位误差,最后在Matlab 2012平台上对算法性能进行仿真分析;实验结果表明,相对于DV-Hop算法,BADV-Hop算法提高了传感器的节点定位精度。

Abstract:

In order to reduce node localization error of wireless sensor network, a novel sensor node localization method is proposed based on bat algorithm and the DV-Hop algorithm (BA-DVHop). Firsly, the distance between unknown node and anchor node is measured, and then the localization of the unknown nodes is determined by using DV-Hop algorithm, finally the bat localization algorithm is used to correct DV-Hop algorithm performance, the simulation experiment to test the algorithm on Matlab 2012 platform. The results show that compared with DV-Hop algorithm, BADV-Hop algorithm can improve the localization accuracy of wireless sensor network.