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A Selective Beacon Node 3D Location Estimation based on RSSI for Wireless Sensor Network

机译：基于RSSI的无线传感器网络选择性信标节点3D位置估计

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摘要

The harsh radio propagation environments and relative geometry of the beacon nodes has always been obstacles to improve the localization accuracy in wireless sensor network. Although, there has been many researches invented to solve these problems and some of them has significantly improved the localization accuracy; they were impeded to provide enough high accuracy for insufficiently exploiting nodes deployed around the actual situation, as well as the beacon node topology and transmission signal characteristics. In this study, localization algorithm first analyze the characteristics and types of ranging error and develop a new novel filter model: median-based weighing which the weighed means instead of original data. Localization algorithm then analyze the quality of tetrahedral mesh constituted by four beacon nodes and propose a novel localization mechanism which only select the beacon nodes with good topology quality to estimate the of unknown node. The simulation results show that the proposed algorithm has better localization performance in the localization precision and stability than the basic location estimation algorithm and some existing improved.
机译：恶劣的无线电传播环境和信标节点的相对几何形状一直是提高无线传感器网络定位精度的障碍。尽管为解决这些问题进行了许多研究，但其中一些已经大大提高了定位精度。它们被阻止为无法充分利用围绕实际情况部署的节点以及信标节点拓扑和传输信号特性提供足够的高精度。在这项研究中，定位算法首先分析了测距误差的特征和类型，并开发了一种新的新型滤波器模型：基于中位数的加权，该加权的意思是代替原始数据。定位算法然后分析了由四个信标节点构成的四面体网格的质量，并提出了一种新颖的定位机制，该机制仅选择具有良好拓扑质量的信标节点来估计未知节点的数量。仿真结果表明，与基本位置估计算法相比，所提算法在定位精度和稳定性方面具有更好的定位性能，并对已有的改进算法进行了改进。

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