基于距离补偿模型的改进DV-Hop定位算法

Improved DV-Hop Localization Algorithm Based on Distance Compensation Model

传统的DV-Hop定位算法在估计网络平均跳距时,采用锚节点之间的物理直线距离代替信号实际传播距离,两者之间存在的距离误差会引起平均跳距估计不精确,从而导致较高的节点定位误差。针对该问题,提出一种改进算法。分析物理直线距离和实际传播距离存在误差的原因,将其总结为节点随机布置导致的节点间距离不均匀,以及实际传播路径与物理直线距离的偏离,并根据不均匀度和偏离度建立距离补偿模型,使物理直线距离更接近实际传播距离。与传统算法相比,改进算法未增加算法复杂度和额外的硬件设备。仿真结果表明,该算法较好地补偿了锚节点之间的距离,显著提高了算法对于未知节点的定位精度。

The traditional DV-Hop localization algorithm estimates the average hop distance with the physical distance between the anchor nodes instead of actual transmission distance,and the distance error between the two kinds of distance undoubtedly leads to the inaccuracy of the average hop distance and relatively high localization error. Aiming at this problem,the improved algorithm is proposed. The reason of error between the physical distance and actual transmission distance is analyzed in the paper,and is summarized as the asymmetry of distance resulted from the nodes random distribution,as well as the deviation degree between the actual transmission path and the physical distance,and the distance compensation model is built based on the asymmetry and deviation degree to make the physical distance closer to the transmission distance. The improved algorithm increases no extra hardware and the complexity of the DV-Hop. The simulation results show that the improved algorithm compensates the distance between the anchor nodes,and improves the localization accuracy to the unknown nodes.