Multi-barycenter Nodes Localization Method in Wireless Sensor Network Based on Improved RSSI

Fu Shenghua, W. Lou, Jingkui Wang, Ji Tong'an, Weitong Liu
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引用次数: 5

Abstract

In order to improve the accuracy of nodes in wireless sensor networks (WSNs). An multi-barycenter localization algorithm based on improved received signal strength indication (RSSI) ranging is proposed. The algorithm first optimizes the RSSI values by the iterative filtering, the distance values of WSNs nodes could be more accurately calculated. And then a multi-barycenter algorithm is introduced to optimize the trilateral localization. The simulation results show that the algorithm can improve the positioning accuracy by 30% compared with the traditional trilateral localization algorithm. Finally, through the localization test of 5 WSN nodes, the measured localization deviation of the WSN nodes is controlled at about 2 m when the distance of sensor node is 80 m. The proposed method could improve localization accuracy effectively without increasing computing resources.
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基于改进RSSI的无线传感器网络多重心节点定位方法
为了提高无线传感器网络中节点的定位精度。提出了一种基于改进接收信号强度指示(RSSI)测距的多重心定位算法。该算法首先通过迭代滤波优化RSSI值,可以更准确地计算WSNs节点的距离值。然后引入多重心算法对三边定位进行优化。仿真结果表明,与传统的三边定位算法相比,该算法的定位精度提高了30%。最后,通过对5个WSN节点的定位测试,当传感器节点距离为80 m时,测量到的WSN节点的定位偏差控制在2 m左右。该方法可以在不增加计算资源的前提下有效提高定位精度。
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