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

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...

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Bibliographic Details
Published in:Statistics and computing 2024-06, Vol.34 (3), Article 115
Main Authors: Yang, Ziyang, Eckley, Idris A., Fearnhead, Paul
Format: Article
Language:English
Subjects:
Artificial Intelligence
Asymptotic properties
Change detection
Computer Science
Likelihood ratio
Original Paper
Probability and Statistics in Computer Science
Sensors
Statistical tests
Statistical Theory and Methods
Statistics and Computing/Statistics Programs
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Description
Summary: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.
ISSN:0960-3174
1573-1375
DOI:10.1007/s11222-024-10428-2