Reinforcement learning for QoS-guaranteed intelligent routing in Wireless Mesh Networks with heavy traffic load

Wireless Mesh Networks is increasingly being applied widely with explosive traffic demand. This leads to a great challenge for traditional routing protocols in ensuring Quality of Service. We propose a QoS-guaranteed intelligent routing algorithm in this paper for WMN with heavy traffic load using r...

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Bibliographic Details
Published in:ICT express 2022, 8(1), , pp.18-24
Main Authors: Duong, Thuy-Van T., Binh, Le Huu, Ngo, Vuong M.
Format: Article
Language:English
Subjects:
Intelligent routing
QoS-guaranteed routing
Reinforcement learning
Wireless Mesh Networks
전자/정보통신공학
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Summary:Wireless Mesh Networks is increasingly being applied widely with explosive traffic demand. This leads to a great challenge for traditional routing protocols in ensuring Quality of Service. We propose a QoS-guaranteed intelligent routing algorithm in this paper for WMN with heavy traffic load using reinforcement learning to improve its performance. We build a reward function for the Q-Learning algorithm to choose a route so that the packet delivery ratio is the highest. Concurrently, the learning rate coefficient is flexibly changed to determine constraints of the end-to-end delay. Our performance evaluations show that the proposed algorithm has significantly improved performance compared with other well-known routing algorithms.
ISSN:2405-9595
2405-9595
DOI:10.1016/j.icte.2022.01.017