首页> 外文会议>Conference on Signal Processing, Sensor Fusion, and Target Recognition XIII; 20040413-20040415; Orlando,FL; US >A Statistical Approach to Distributed Edge Detection in Wireless Sensor Networks
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A Statistical Approach to Distributed Edge Detection in Wireless Sensor Networks

机译:无线传感器网络中分布式边缘检测的一种统计方法

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摘要

A statistical approach to distributed edge detection in wireless sensor networks is proposed in this research. Rather than trying to estimate the real edge of a phenomenon, the technique of edge sensor detection is adopted to determine whether a target sensor is located within the edge area or not based on information collected from its neighboring sensors. Due to the nature of wireless sensor networks, it is desirable to have a distributed algorithm that has a low computational complexity and a low data communication cost among sensors. With some reasonable assumptions and the aid of composite hypothesis testing, we propose data fusion as well as decision fusion methods for edge sensor detection to fulfill the aforementioned constraints. Numerical experiments are used to demonstrate the efficiency of the proposed algorithm.
机译:本研究提出了一种统计方法,用于无线传感器网络中的分布式边缘检测。而不是尝试估计现象的真实边缘,而是采用边缘传感器检测技术基于从其相邻传感器收集的信息来确定目标传感器是否位于边缘区域内。由于无线传感器网络的性质,期望具有一种分布式算法,该算法具有较低的计算复杂度和较低的传感器之间的数据通信成本。借助一些合理的假设并借助复合假设检验,我们提出了用于边缘传感器检测的数据融合以及决策融合方法,以满足上述约束。数值实验证明了该算法的有效性。

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