基于误差加权的三维双曲线定位算法

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.

Three Dimensional Hyperbolic Localization Algorithm Based on Error Weighting

In order to reduce the error of localization for unknown nodes in the three dimensional space,an improved three dimensional DV-Hop algorithm based on the error weighting and the three dimensional hyperbolic localization was proposed to enhance the localization accuracy of three dimensional DV-Hop algorithm. Firstly, the improved algorithm used the error weighting method to deal with the average per-hop distance of unknown nodes. Then,the hop distance between unknown nodes and anchor nodes was classified and selected. Finally, the two dimensional hyperbolic method is extended to the three dimensional space to calculate the coordinates of unknown nodes. The simulation experimental results show that the improved algorithm can effectively locate unknown nodes in the three dimensional WSN environment,the average localization error and localization accuracy are obviously superior to three dimensional DV-Hop algorithm,compared with comparative literature also has a certain improvement,and anchor node density and communication radius have less effect on the average localization error and localization accuracy.