基于误差加权的三维双曲线定位算法

发布时间：2018-04-25 17:17

本文选题：无线传感器网络 + 节点定位　；参考：《传感技术学报》2017年05期

【摘要】：为了减小三维空间中对未知节点定位的误差,提高三维DV-Hop算法的定位精度,提出一种基于误差加权和三维双曲线定位的三维DV-Hop改进算法。改进算法首先采用误差加权的方法处理未知节点的平均每跳距离,然后分类选择未知节点与锚节点之间的跳段距离,最后将二维双曲线法扩展到三维空间计算未知节点的坐标。仿真实验结果表明,改进算法在三维WSN环境中可以对未知节点进行有效的定位,平均定位误差和定位精度显著优于三维DV-Hop算法,相较于对比文献也有一定的提升,并且锚节点密度和通信半径对平均定位误差和定位精度的影响较小。
[Abstract]:In order to reduce the positioning error of unknown nodes in 3D space and improve the positioning accuracy of 3D DV-Hop algorithm, an improved 3D DV-Hop algorithm based on error weighting and 3D hyperbolic localization is proposed. The improved algorithm firstly uses the method of error weighting to deal with the average distance per hop of unknown nodes, then classifies the hopping distance between unknown nodes and anchor nodes. Finally, the two-dimensional hyperbolic method is extended to calculate the coordinates of unknown nodes in three-dimensional space. The simulation results show that the improved algorithm can effectively locate unknown nodes in 3D WSN environment, and the average positioning error and positioning accuracy are significantly better than that of 3D DV-Hop algorithm. The influence of anchor node density and communication radius on the average positioning error and positioning accuracy is small.
【作者单位】：江西理工大学信息工程学院;
【分类号】：TN929.5;TP212.9

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