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无线传感器网络时间同步是无线传感器网络的一个重要的研究方向,本文以无线传感器网络TPSN(传感器网络时间同步协议)算法为例,研究了TPSN算法时间同步误差的产生原因和分布规律。从采用信息熵和标准差反映测量数据的波动和不确定性角度出发,对信息熵-标准差模型进行了简介,并对随机产生的6组数据进行了实证研究,运用信息熵-标准差模型对测量数据组进行筛选,得出在此模型下的最优数据组。
Time synchronization of wireless sensor networks is an important research direction of wireless sensor networks. This paper takes TPSN (Sensor Network Time Synchronization Protocol) algorithm as an example to study the causes and distribution rules of TPSN algorithm time synchronization errors. This paper introduces the information entropy - standard deviation model from the point of information entropy and standard deviation to reflect the fluctuation and uncertainty of the measured data, and empirically studies six randomly generated data sets. Using the information entropy - standard deviation model The measurement data set is filtered to obtain the optimal data set under this model.