基于跳距修正L-M优化的WSN定位算法

Iterative algorithm for L-M in WSN based on modifying average hopping distances

摘要:

针对DV-Hop定位算法在节点随机分布的网络拓扑环境下存在误差较大的问题,文中通过分析平均跳距估计、未知节点坐标估计区域求解对定位精度的影响,提出了一种基于跳距修正L-M优化的WSN定位算法CLDV-Hop(Correct L-M DV-Hop)。仿真结果表明,在不增加额外开销且仿真环境相同的条件下,CLDV-Hop算法比现有改进的算法具有更高的定位精度,与DV-Hop算法相比精度提高了约33%——41%。

Abstract:

Aiming at the existing large errors of the DV—Hop localization algorithm in network topology nodes distributed randomly, the passage try to solve the position accuracy by analyzing the estimate of the average hop and the unknown node coordinates region, proposed a CLDV-Hop algorithm in WSN based on modifying average hopping distances. The simulation results show that, without increasing the overhead and the same conditions as the simulation environment, CLDV-Hop algorithm has higher positioning accuracy than existing improved algorithms, and compared with DV-Hop algorithm accuracy is improved by about 33% - 41%.