On Optimal Quantized Non-Bayesian Quickest Change Detection With Energy Harvesting

In this paper, we consider a problem of decentralized non-Bayesian quickest change detection using a wireless sensor network where the sensor nodes are powered by harvested energy from the environment. The underlying random process being monitored by the sensors is subject to change in its distribut...

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Vydané v:	IEEE transactions on green communications and networking Ročník 4; číslo 2; s. 433 - 447
Hlavní autori:	Biswas, Sinchan, Dey, Subhrakanti, Knorn, Steffi, Ahlen, Anders
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Asymptotic methods Asymptotic properties Batteries Bayesian analysis Change detection Decentralized Change-Point Detection Delays Detection Dynamic programming Electrical Engineering with specialization in Signal Processing Elektroteknik med inriktning mot signalbehandling Energy Energy consumption Energy harvesting Environmental monitoring False alarms Likelihood ratio Mathematical analysis Measurement Optimization Quantization Quantization (signal) Random processes Robot sensing systems Sensor Networks Sensors Wireless sensor networks
ISSN:	2473-2400, 2473-2400
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