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

Thuy‐Van T. Duong, Lê Hữu Bình, Vuong M. Ngo

2022ICT Express22 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Reinforcement learningComputer scienceComputer networkQuality of serviceRouting (electronic design automation)Dynamic Source RoutingNetwork packetMultipath routingLoad balancing (electrical power)Q-learningDistributed computingRouting protocolArtificial intelligenceMathematicsGeometryGridMobile Ad Hoc NetworksCooperative Communication and Network CodingEnergy Efficient Wireless Sensor Networks
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