无线传感器网络的RSSI定位技术研究

Probabilistic localization for wireless sensor networks

在许多无线传感器网络应用中,定位已经成为一个基本的服务需求。分析了基于接收信号强度(RSS)测量模型的位置估计,详细地推导了单个盲节点位置的概率密度函数并分析两个盲节点位置的概率分布的关系,通过该模型的极大似然估计可以得出盲节点位置,而且在此基础上修正了该定位估计算法,使得系统中盲节点越多其估计位置的精度越高,最后通过有效的仿真验证了算法。

Localization is a fundamental service required by enormous wireless sensor network applications. The RSS measurement model is examined for location estimation and provide the first detailed function of the probability distribution of the position of a blind node, and propose a method in which a probabilistic statistical model of wireless propagation characteristic, the node position is estimated by maximum likelihood estimation using the model.