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A cross-layer approach to contour nodes inference of monitored physical phenomena with data fusion in wireless sensor networks is investigated in this work. The authors first analyze three sources of signal distortion: sensing noise, data quantization error and data communication noise. The sensing noise is often negligible. We need to choose the proper data quantization levels to balance the communication...
A statistical approach to distributed edge region detection in wireless sensor networks, which is optimized under the Neyman-Pearson (NP) criterion, is proposed in this work. The concept of edge nodes is adopted to label the defined edge region. Even though statistical methods have been proposed to detect edge nodes, a rigorous way to select the threshold value is lacking. Based on the NP criterion,...
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