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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on green communications and networking Vol. 4; no. 2; pp. 433 - 447
Main Authors:	Biswas, Sinchan, Dey, Subhrakanti, Knorn, Steffi, Ahlen, Anders
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!