Use of Q-learning approaches for practical medium access control in wireless sensor networks
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper studies the potential of a novel approach to ensure more efficient and intelligent assignment of capacity through medium access control (MAC) in practical wireless sensor networks. Q-Learning is employed as an intelligent transmission strategy. We review the existing MAC protocols in the context of Q-learning. A recently-proposed, ALOHA and Q-Learning based MAC scheme, ALOHA-Q, is considered which improves the channel performance significantly with a key benefit of simplicity. Practical implementation issues of ALOHA-Q are studied. We demonstrate the performance of the ALOHA-Q through extensive simulations and evaluations in various testbeds. A new exploration/exploitation method is proposed to strengthen the merits of the ALOHA-Q against dynamic the channel and environment conditions. © 2016 Elsevier Ltd
Açıklama
Anahtar Kelimeler
ALOHA, Medium access control, Q-Learning, Wireless sensor networks, Access control, Wireless sensor networks, ALOHA, Environment conditions, Exploration/exploitation, Extensive simulations, Medium access control(MAC), Q-learning, Q-learning approach, Transmission strategies, Medium access control, ALOHA, Medium access control, Q-Learning, Wireless sensor networks, Access control, Wireless sensor networks, ALOHA, Environment conditions, Exploration/exploitation, Extensive simulations, Medium access control(MAC), Q-learning, Q-learning approach, Transmission strategies, Medium access control
Kaynak
Engineering Applications of Artificial Intelligence
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
55
