無線感測網路之無參數低複雜度改變檢測

Abstract

吾人考慮感測器警報機率分佈改變偵測的問題。在無參數改變偵測的架構下，吾人基於Rao test發表一套演算法。吾人也將感測器分群並且估計各群的期望值來做檢測。我們獲得了理論上的效能。我們所提出方法的複雜度為線性，適用於多感測器的情況之下。吾人也考慮在感測器與資料融合中心的連線上有干擾情況時的效能增強。

The problem of detecting changes in the distribution of alarmed sensors is considered. Under a nonparametric change detection framework, we present an algorithm based on the Rao test. We also partition sensors into small groups and estimate their mean to perform detection. Theoretical performance guarantees are obtained. Our approach has linear complexity, which is suitable to large number of sensors. We also enhance change detection performance for sensors-to-fusion links with interference.