【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一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%。更多还原

【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%.更多还原