Wireless sensor networks (WSNs) have broad application prospects in various industries, and node localization technology is the foundation of WSN applications. Recently, many range-free node localization algorithms have been proposed, but most of them suffer from low accuracy. In order to improve the localization accuracy, in this paper we proposed the node localization algorithm based on multi-hop distance vector and error correction (MDV-EC). In terms of distance estimation, firstly the MDV-EC algorithm calculates the neighbor distance according to node neighbor relationship, then estimates the distance between unknown node and anchor node in multi-hop manner, and finally calibrates the distance refer to distance correction coefficient. In view of similarity of localization errors of nodes in similar regions, an error correction scheme is also investigated, which corrects the node initial estimated locations of nodes refer to the localization error vector of nearby anchor node. Simulation results show that our proposed MDV-EC has better performance than the other two algorithms in terms of node localization accuracy, and the error correction scheme can effectively reduce the localization errors.

无线传感器网络（WSNs）在各个行业都有广阔的应用前景，节点定位技术是WSN应用的基础。最近，已经提出了许多无范围节点定位算法，但大多数都存在精度低的问题。为了提高定位精度，本文提出了基于多跳距离矢量和纠错的节点定位算法（MDV-EC）。在距离估计方面，MDV-EC算法首先根据节点邻居关系计算邻居距离，然后以多跳方式估计未知节点与锚节点之间的距离，最后参考距离校正系数进行距离校准。鉴于相似区域节点定位误差的相似性，还研究了一种纠错方案，该方案参考附近锚节点的定位误差向量对节点的初始估计位置进行校正。仿真结果表明，我们提出的MDV-EC在节点定位精度方面优于其他两种算法，纠错方案可以有效降低定位误差。