一种基于非完全数据的路径损耗模型选择算法
doi: 10.3724/SP.J.1146.2011.01084
A Model Selection Algorithm for Path Loss from Incomplete Data
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摘要: 为尽可能选择反应实际信道衰减特性的路径损耗模型,该文针对无线传感器网络中的路径损耗提出一种多模型选择算法。首先分析一组路径损耗模型的统计特性,然后考虑接收信号强度(RSS)的非完全数据,提出基于期望最大化(EM)的参数估计算法,最后在准则函数的基础上给出表征模型优劣的权重系数,建立了一种进行路径损耗模型筛选的量化方法。实验分析表明,该算法的参数估计较为准确,且与同类算法相比,该算法甄别出的最优模型与实验数据有较好的拟合度。Abstract: In order to reflect the actual channel attenuation, a model selection algorithm for path loss in wireless sensor networks is proposed. Firstly, the statistical properties of some path loss models are analyzed,and then Expectation Maximization (EM) algorithm from incomplete data of Received Signal Strength (RSS) is proposed for parameter estimation. Finally, a set of weighted coefficients are given on the basis of criterion function, which could select an appropriate path loss model. Through experiment, the proposed model selection method could estimate parameters effectively, compared with other similar algorithms,this method could pick up a model fitting the experimental data better.
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