A communication-efficient, online changepoint detection method for monitoring distributed sensor networks

Yang, Ziyang and Eckley, Idris A. and Fearnhead, Paul (2024) A communication-efficient, online changepoint detection method for monitoring distributed sensor networks. Statistics and Computing, 34 (3): 115. ISSN 0960-3174

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Abstract

We consider the challenge of efficiently detecting changes within a network of sensors, where we also need to minimise communication between sensors and the cloud. We propose an online, communication-efficient method to detect such changes. The procedure works by performing likelihood ratio tests at each time point, and two thresholds are chosen to filter unimportant test statistics and make decisions based on the aggregated test statistics respectively. We provide asymptotic theory concerning consistency and the asymptotic distribution if there are no changes. Simulation results suggest that our method can achieve similar performance to the idealised setting, where we have no constraints on communication between sensors, but substantially reduce the transmission costs.

Item Type:
Journal Article
Journal or Publication Title:
Statistics and Computing
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1703
Subjects:
?? internet of thingsdistributed computingchangepointsmosumreal-time analysisonlinecomputational theory and mathematicstheoretical computer sciencestatistics and probabilitystatistics, probability and uncertainty ??
ID Code:
218095
Deposited By:
Deposited On:
15 Apr 2024 08:55
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 01:08