基于LMAP算法的改进算法——ELMAP

ELMAP:an improved algorithm based on LMAP

在LMAP(Localization with mobile anchor points in wireless sensor networks)算法的基础上提出了一种改进算法:ELMAP算法。ELMAP算法改进了原算法的参考信息分组的选取机制,以达到摆脱对节点传输模型假设的依赖和提高实际应用中定位性能的目的。该算法选取具有相同接收信号强度(RSS)值的信息分组作为参考信息分组来对未知节点进行定位计算。仿真结果表明ELMAP算法比原算法具有更强的环境适应能力,并且可以通过调节接收到的信息分组数量和限定用于定位计算的参考信息分组的RSS值的范围来达到最佳状态。

In this paper,an improved localization algorithm,called Enhance Localization with Mobile Anchor Points（ELMAP）,is developed.This improved algorithm is based on Localization with Mobile Anchor Points（LMAP） algorithm.ELMAP improves the original beacon point selection for the sake of shaking off the dependence on the assumption of transmission range and enhancing the localization performance in practice.It selects the beacon messages,possessing the same value of Receive Signal Strength（RSS）,as the beacon points to estimate the coordinates of unknown nodes.Simulation results show that the environment adaptability of ELMAP algorithm is much stronger than LMAP algorithm,and the performance could be optimized by adjusting the number of the beacon messages and restricting the RSS value of the beacon points.