无线传感器网络的定位改进算法

DV-Hop定位算法利用最近一个信标节点估计的平均跳距来计算未知节点坐标,降低了定位精度.提出了改进算法,对每个信标节点的平均跳距误差进行mandist和dist跳距修正加权,然后用加权处理后的平均跳距误差修正全网平均每跳距离,使其更逼近实际距离,最后得到未知节点的坐标.通过仿真,证明该改进算法可以有效地降低节点分布不均引起的测距误差,提高算法的定位精度.

Improved Research on DV-Hop Wireless Network Localization Algorithm

DV-Hop algorithm uses the most recent beacon node estimates the average hip distance to calculate the coordinates of the unknown node, thereby reducing the positioning accuracy. To solve the distance measuring error of the DV-Hop algorithm, an improved DV-Hop algorithm based on mandist and dist is proposed, and treated with a weighted average of the whole network hip distance error correction average hop distance, and thus more approaching the actual distance. Simulation results show that the proposed algorithm maintains strong applicability in various circumstances, and efficiently decreases the distance measuring error caused by nonuniform distribution of nodes, thus fairly improving the locating precision.