基于综合预测算法的无线传感器网络移动节点定位策略

Mobile Node Localization Strategy in Wireless Sensor Networks Based on Synthetic Prediction Algorithm

结合测距定位方法和移动节点历史定位信息,提出历史定位算法。在此基础上,引入移动节点相对运动角度测量,提出了基于综合预测算法的无线传感器网络移动节点定位策略。首先,根据测距结果选择较近的三个信标节点,并且加入移动节点的前一时刻坐标,应用最小二乘法,得到当前时刻的坐标;另一方面,由移动节点相对运动角度同样可以计算节点当前时刻的坐标;最后,将两种方法得到的坐标求平均值,作为综合预测算法给出的节点当前定位位置。仿真结果表明,所提出的定位策略能够高性能的实现移动节点定位,并且成本较低。

The history-based localization strategy is presented by combining the distance measuring and the historical localization information.Then,a mobile node localization strategy in wireless sensor networks based on synthetic prediction algorithm is proposed by introducing the relative motion angle measuring of the mobile node.First,three beacon nodes are selected which are nearer the unknown node.The present coordinate of mobile node can be got by introducing the coordinate of previous localization time and applying least squares method.On the other hand,the coordinate can be calculated if the rel- ative localization strategy is used.Finally,the average of node coordinates obtained from two methods can be considered to be the current position of the mobile node given by synthetic prediction algorithm.