Distributed Change Detection in Streaming Graph Signals
Abstract
Detecting abrupt changes in streaming graph signals is relevant in a variety of applications ranging from energy and water supplies, to environmental monitoring. In this paper, we address this problem when anomalies activate localized groups of nodes in a network. We introduce an online change-point detection algorithm, which is fully distributed across nodes to monitor large-scale dynamic networks. We analyze the detection statistics for controlling the probability of a global type 1 error. Finally we illustrate the detection and localization performance with simulated data.
- Publication:
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arXiv e-prints
- Pub Date:
- October 2019
- DOI:
- 10.48550/arXiv.1910.06561
- arXiv:
- arXiv:1910.06561
- Bibcode:
- 2019arXiv191006561F
- Keywords:
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- Electrical Engineering and Systems Science - Signal Processing;
- Computer Science - Multiagent Systems