Stochastic dynamic programming solution to transmission scheduling: Multi sensor-multi process with wireless noisy channel

We investigate sensor scheduling for remote estimation when multiple smart sensors monitor multiple stochastic dynamical systems. The sensors transmit their measurements to a remote estimator through a noisy wireless communication channel. Such a remote estimator can receive multiple packets simulta...

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Vydáno v:	Computers & electrical engineering Ročník 106; s. 108573
Hlavní autoři:	Forootani, Ali, Forootani, Sara, Iervolino, Raffaele, Zarch, Majid Ghaniee
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2023
Témata:	Approximate dynamic programming Kalman filter Markov Decision Process Neural Network Random Forest Sensor scheduling Approximate dynamic programming Neural Network Sensor scheduling Markov Decision Process Kalman filter Random Forest
ISSN:	0045-7906, 1879-0755
On-line přístup:	Získat plný text
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