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Correlation Region and Node Selection Identification for Redundant WSNs: Merging Spatio-Temporal Correlation based-Location with Distortion Effects

机译:冗余WSN的相关区域和节点选择识别:基于失真效应的基于时空相关的时空相关性

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This paper presents the modified perspective for analysis of wireless sensor network correlation regions and representative nodes. In order to achieve distortion-tolerant communication, the methodology is based on the spatio-temporal correlation regarding distortion effects due to surrounding environments. Several sensor nodes observing data are selected regarding the random changes of propagation paths at each different observation time. Simulation results present that distortion effects at each observation time cause different correlation regions and the representative nodes. The closed forms of computational efforts based 1-D/2-D distributive sensor network are also proposed.
机译:本文介绍了用于分析无线传感器网络相关区域和代表节点的修改视角。为了实现可失真的通信,方法基于关于周围环境引起的对失真效应的时空相关性。观察数据的几个传感器节点关于每个不同观察时间的传播路径的随机变化。仿真结果存在于每个观察时间的失真效应导致不同的相关区域和代表节点。还提出了基于1-D / 2-D分布式传感器网络的封闭形式的计算工作。

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