基于Steffensen迭代和模糊信息的节点定位算法

为了提高无线传感器网络节点定位精度,提出了一种基于Steffensen迭代和模糊信息的节点定位算法.算法在模糊信息定位方法的基础上,通过引入Steffensen迭代求精提高节点定位精度.算法将锚节点分为静态锚节点和移动锚节点,利用移动锚节点不断的运动来辅助静态锚节点进行定位.首先利用节点间的模糊信息实现未知节点位置的粗略定位,然后利用Steffensen迭代对节点位置进行不断迭代求精,以实现未知节点的精确定位.通过仿真实验证明,相比3D-ADAL算法和改进的TOF测距算法,本文算法不仅降低了定位误差率,减小了网络的通信开销,还提高了节点定位效率.

Node Location Algorithm Based on Steffensen Iteration and Fuzzy Information

In order to improve the localization accuracy of wireless sensor networks,the node localization algorithm based on Steffensen iteration and fuzzy information is proposed.This paper introduced Steffensen iterative refinement to improve the positioning accuracy.Anchor nodes are divided into static anchor nodes and mobile anchor nodes,the algorithm uses the motion of the moving anchor node to assist the static anchor node to locate. Firstly,the location of unknown nodes is roughly located by using the fuzzy information between nodes,and then the node positions are it-eratively refined by Steffensen iteration to realize the precise localization of unknown nodes.The simulation experi-ment proves that the algorithm in this paper not only reduces the location error rate,diminishes the communication overhead,but also improves the node location efficiency compared with the 3D-ADAL algorithm and the improved TOF algorithm.