Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming

In this paper, we consider a remote estimation problem where multiple dynamical systems are observed by smart sensors, which transmit their local estimates to a remote estimator over channels prone to packet losses. Unlike previous works, we allow multiple sensors to transmit simultaneously even tho...

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Veröffentlicht in:	Automatica (Oxford) Jg. 136; S. 110061
Hauptverfasser:	Forootani, Ali, Iervolino, Raffaele, Tipaldi, Massimo, Dey, Subhrakanti
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2022
Schlagworte:	Approximate dynamic programming Kalman filter Least Squares Temporal Difference Markov Decision Process Sensor scheduling Wireless sensor networks Wireless sensor networks Approximate dynamic programming Least Squares Temporal Difference Markov Decision Process Sensor scheduling Kalman filter
ISSN:	0005-1098, 1873-2836, 1873-2836
Online-Zugang:	Volltext
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