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A recombination information process method of missing data in WSN

机译:WSN中丢失数据的重组信息处理方法

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With reference to reducing dimensionality or predicting data missing mechanism, this paper approaches the function between distribution of missing data and topology of wireless sensor networks, and presents a recombination information missing data process method. As the missing data normally come from communication especially media accessing mechanism of carrier sense multiple access (CSMA) or time division multiple access (TDMA), the paper shows that the packets loss process is normally Poisson stochastic process. And the paper studies maximum missing data rates of some different topology networks (for example, the topology of star, hierarchical cluster tree, and mesh). In the end, the paper estimates the recombination information missing data processes method by simulations and experiments.
机译:针对降低维数或预测数据丢失的机制,本文研究了无线传感器网络丢失数据的分布与拓扑之间的关系,提出了一种重组信息丢失数据的处理方法。由于丢失的数据通常来自通信,尤其是载波侦听多路访问(CSMA)或时分多路访问(TDMA)的媒体访问机制,因此,数据包丢失过程通常是泊松随机过程。并且本文研究了某些不同拓扑网络(例如,星形拓扑,分层聚类树和网格的拓扑)的最大丢失数据速率。最后,通过仿真和实验,估计了重组信息缺失数据的处理方法。

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