基于协同预测的无线传感器网络全移动节点定位算法

摘要

The node localization technology is one of the key issues in wireless sensor networks.This paper analyzed the radio path loss model,established a fitting model between RSSI and distance,proposed moving node localization algorithm based on cooperated prediction.The algorithm solved the problem that the unknown nodes couldn’t be located when the number of an-chor nodes were less than three.The historical location coordinated of unknown nodes were used as the location of virtual an-chor node.The moving speed was used as the virtual communication radius.Simulation results show that,compared with the traditional RSSI localization algorithm,the proposed algorithm’s success rate of unknown node localization is improved by a-bout 30% and the average relative error is reduced by about 47%.%节点定位技术是无线传感器网络的关键问题之一，分析了无线电的路径损耗模型，建立了基于信号接收强度（received signal strength indicator，RSSI）和距离的拟合关系模型，提出了一种基于协同预测的无线传感器网络全移动节点定位方法。该方法解决了当能够与未知节点通信的锚节点数量少于三个而不能定位的问题，算法利用未知节点历史时刻的位置信息辅助当前时刻的未知节点定位，即把未知节点历史时刻的位置作为锚节点的位置，速度值作为通信半径对未知节点进行辅助定位。仿真结果表明，与传统RSSI定位算法相比，该算法的定位成功率提高了约30％，每轮的平均相对误差降低了约47％。