基于协同预测的无线传感器网络全移动节点定位算法

发布时间：2018-06-16 05:12

本文选题：无线传感器网络 + 移动节点定位　；参考：《计算机应用研究》2017年01期

【摘要】：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%。
[Abstract]:Node location is one of the key problems in wireless sensor networks. The radio path loss model is analyzed, and a fitting model based on the received signal strength indicator RSSI and distance is established. In this paper, a method for locating all mobile nodes in wireless sensor networks based on cooperative prediction is proposed. This method solves the problem that the number of anchor nodes that can communicate with unknown nodes is less than three and can not be located. The algorithm uses the position information of unknown nodes' historical time to assist the location of unknown nodes at the current time. That is to say, the position of the unknown node is regarded as the position of the anchor node, and the velocity is used as the communication radius to locate the unknown node. The simulation results show that compared with the traditional RSSI localization algorithm, the localization success rate of this algorithm is increased by about 30 percent, and the average relative error of each round is reduced by about 47 percent.
【作者单位】：东北电力大学信息工程学院;
【基金】：国家自然科学基金资助项目(61501106) 吉林省科技发展计划资助项目(20150520097JH) 吉林市科技计划资助项目(201464056) 东北电力大学青年学术骨干科研促进计划资助项目
【分类号】：TP212.9;TN929.5

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