基于差分估计的无线传感器网络定位算法

Fugen Su, Weizheng Ren, Hongli Jin
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引用次数: 13

摘要

为了有效抑制RSSI误差对无线传感器网络节点定位精度的影响,在分析最大似然估计和RSSI模型的基础上,定义了个体多样性差系数、距离差系数和距离差定位方程,并以距离目标节点最近的信标节点为参考节点,利用差分法对基于RSSI的测量距离进行校正。将差分校正法和极大似然估计法相结合,提出了一种距离差分定位算法。该定位算法不需要额外的硬件开销,易于实现,定位误差小于2.5m,适用于操作能力和供电受限的WSN节点定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Localization Algorithm Based on Difference Estimation for Wireless Sensor Networks
In order to suppress effectively the effects of RSSI error to wireless sensor networks node localization’s precision, individual diversity difference coefficient, distance difference coefficient and distance difference localization equation is defined based on the analysis of the models of maximum likelihood estimation and RSSI¿The closest beaconing node to object node as reference node corrects measure distance based on RSSI by difference method. A distance difference localization algorithm is put forward through combining difference correction method and maximum likelihood estimation method. This localization algorithm needn’t additional hardware spending, easy to be realized and its localization error is less than 2.5m, therefore it is fit for localization of WSN node whose operation ability and power supply are restricted.
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