Elements of information theory
Elements of information theory
Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Asymptotic optimality of running consensus in testing binary hypotheses
IEEE Transactions on Signal Processing
Enforcing Consensus While Monitoring the Environment in Wireless Sensor Networks
IEEE Transactions on Signal Processing - Part II
Decentralized quickest change detection
IEEE Transactions on Information Theory
Information bounds and quickest change detection in decentralized decision systems
IEEE Transactions on Information Theory
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Page's test is a well-known statistical technique to approach quickest detection problems, namely the detection of an abrupt change in the statistical distribution of a certain monitored phenomenon. Running consensus is a recently proposed signal processing procedure aimed at reaching agreement among the nodes of a fully flat network, and its peculiar feature is the simultaneity of two stages: that of acquiring new measurements by the sensors, and that of data fusion involving inter-sensor communications. In this paper we study a quickest detector based on the running consensus scheme, and compare it to a bank of independent Page's tests. Exploiting insights from previous studies, we propose closed-form analytical approximations of the performances of these detection schemes and address a comparison in terms of relative efficiencies. The approximated performance figures are then checked by simulation to validate the analysis and to investigate non-asymptotic scenarios.