Asymptotic Performance Analysis of Distributed Non-Bayesian Quickest Change Detection With Energy Harvesting Sensors

This article focuses on the distributed non-Bayesian quickest change detection based on the cumulative sum (CUSUM) algorithm in an energy harvesting wireless sensor network, where the distributions before and after the change point are assumed to be known. Each sensor is powered by randomly availabl...

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Vydáno v:	IEEE transactions on aerospace and electronic systems Ročník 58; číslo 4; s. 3697 - 3707
Hlavní autoři:	Biswas, Sinchan, Dey, Subhrakanti
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Asymptotic properties Bayesian analysis Change detection Change detection algorithms Decision theory Delays Detection algorithms Distributed Change-Point Detection Electrical Engineering with specialization in Signal Processing Elektroteknik med inriktning mot signalbehandling Energy Energy harvesting False alarms Likelihood ratio Sensor fusion Sensor Networks Sensors Wireless sensor networks
ISSN:	0018-9251, 1557-9603, 1557-9603
On-line přístup:	Získat plný text
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