Distributed Change Detection in Streaming Graph Signals
Signal Processing
2019-10-16 v1 Multiagent Systems
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.
Cite
@article{arxiv.1910.06561,
title = {Distributed Change Detection in Streaming Graph Signals},
author = {André Ferrari and Cédric Richard and Louis Verduci},
journal= {arXiv preprint arXiv:1910.06561},
year = {2019}
}