Robust Coordinated Reinforcement Learning for MAC Design in Sensor Networks

In this paper, we propose a medium access control (MAC) design method for wireless sensor networks based on decentralized coordinated reinforcement learning. Our solution maps the MAC resource allocation problem first to a factor graph, and then, based on the dependencies between sensors, transforms...

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Vydáno v:	IEEE journal on selected areas in communications Ročník 37; číslo 10; s. 2211 - 2224
Hlavní autoři:	Nisioti, Eleni, Thomos, Nikolaos
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Access control Algorithms Complexity Complexity theory Computer simulation Convergence Coordination coordination graphs irregular repetition slotted ALOHA Knapsack problem Machine learning max-sum algorithm Media Access Protocol Medium access control Optimization POMDP Q-learning Reinforcement learning Remote sensors Resource allocation Resource management Sensors Throughput Wireless sensor networks
ISSN:	0733-8716, 1558-0008
On-line přístup:	Získat plný text
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