基于节点自旋阈值确认机制的无线传感网节点定位算法

Node Localization Algorithms for Wireless Sensor Network Node Based on Spin Threshold Confirmation Mechanism

为解决无线传感网链路定位过程中定位阈值确定困难,数据链路随定位精度存在迁移过度等问题。论文提出了基于节点自旋阈值确认机制的无线传感网节点定位算法。首先,采取区域自递归方式,构建节点定位自旋阈值,并根据该阈值进行节点定位,从而实现簇区域内节点的稳定搜寻,然后针对数据传输过程的特点,采取流量稳定机制实现对数据传输的优化选择,从而实现数据的高效汇聚传输。仿真实验表明:与SWF算法相比,论文算法的链路稳定代价更低,可实现数据的优化传输和节点的精确定位。

In order to solve that the localization threshold in wireless sensor network link location process is difficult to determine, data link with the positioning accuracy of the exist problems such as excessive migration, this paper proposes a node localization algorithm for WSN node threshold confirmation mechanism based on the mechanism of spin First, regional self recursive construction of node localization stability threshold, and node localization according to the threshold, in order to achieve the stability of the nodes in the cluster region search, then according to the characteristics of the process of data transmission, stable flow mechanism of choice for the optimization of data transmission, data in order to achieve efficient transmission convergence. Simulation experiments show that the algorithm in this paper can reduce the link stability consideration, to achieve the precise position of the optimization of data transmission, the node.