递增式传感器节点定位方法的累积误差分析及其改进

Accumulative Error Analysis of Incremental Node Localization Approach and Its Improvement in Wireless Sensor Network

该文对递增式定位的累积误差影响进行了仿真分析,根据方法中前次定位节点的精度优于后次定位节点的特点,提出把未知节点与其参考节点中定位精度较高的节点间的距离作为约束条件来减少误差传播的影响。仿真结果表明:该方法能够显著减小传感器节点定位过程中的累积误差,提高节点定位精度,改善了方法的适用性。

The accumulative error of the incremental localization approach （ILA） is analysed by Monte Carlo simulation and the effects of the errors on localization accuracy are revealed. An improved ILA is proposed to reduce the accumulative errors. The basic idea behind the proposed algorithm is to reduce the error propagation by using the constraints on the distances between the unknown nodes and the best accurate nodes in previous known nodes. The simulation results show that the improved ILA can significantly reduce the accumulative errors of the ILA and enhance the localization accuracy.