Generalized Analysis of a Distributed Energy Efficient Algorithm for Change Detection
Taposh Banerjee, Vinod Sharma

TL;DR
This paper generalizes a distributed change detection algorithm to a nonparametric version, analyzing its energy efficiency and performance in noisy multiple access channels, extending prior parametric approaches.
Contribution
It introduces a unified analysis of a nonparametric distributed CUSUM-based change detection algorithm, expanding on previous parametric methods.
Findings
Provides a theoretical framework for nonparametric change detection
Analyzes energy efficiency in noisy MAC channels
Extends existing algorithms to nonparametric settings
Abstract
An energy efficient distributed Change Detection scheme based on Page's CUSUM algorithm was presented in \cite{icassp}. In this paper we consider a nonparametric version of this algorithm. In the algorithm in \cite{icassp}, each sensor runs CUSUM and transmits only when the CUSUM is above some threshold. The transmissions from the sensors are fused at the physical layer. The channel is modeled as a Multiple Access Channel (MAC) corrupted with noise. The fusion center performs another CUSUM to detect the change. In this paper, we generalize the algorithm to also include nonparametric CUSUM and provide a unified analysis.
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Taxonomy
TopicsAdvanced Statistical Process Monitoring · Fault Detection and Control Systems · Advanced Control Systems Optimization
