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Optimized Reinforcement Learning Based Multipath Transfer Protocol in Wireless Mesh Network

S. Rajeswari1,*, S. A. Arunmozhi1, Y. Venkataramani2

1 Department of Electronics and Communication Engineering, Saranathan College of Engineering, Trichy, 620012, Tamil Nadu, India
2 Dean (R&D), Saranathan College of Engineering, Trichy, 620012, Tamil Nadu, India

* Corresponding Author: S. Rajeswari. Email: email

Intelligent Automation & Soft Computing 2022, 34(3), 1959-1970. https://doi.org/10.32604/iasc.2022.025957

Abstract

Multiple radios working on different channels are used in Wireless Mesh Networks (WMNs) to improve network performance and reduce Energy Consumption (EC). Effective routing in Backbone WMNs is where each cross-section switch is well-organized with multiple Radio Interfaces (RI), and a subset of hubs is occupied as a gateway to the Internet. Most routing methods decrease the forward overheads by evolving one dimension, e.g., hop count and traffic proportion. With that idea, while considering these dimensions together, the complexity of the routing issue increases drastically. Consequently, an effective EC routing method considers a few performances simultaneously, and the requirement of MRC around the gateways is also considered. In this paper, the proposed Reinforcement Learning (RL) method based routing selection on MPR communication directs the network traffic in WMNs. Here the radio routing path selects the channel depending on the optimized node where optimization is agreed by Particle Swarm Optimization (PSO) technique. This aims to reduce the EC by switching states and utilizing efficient routing with the reduction in traffic demand. Experimental results showed better performance of throughput and EC compared with existing work.

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APA Style
Rajeswari, S., Arunmozhi, S.A., Venkataramani, Y. (2022). Optimized reinforcement learning based multipath transfer protocol in wireless mesh network. Intelligent Automation & Soft Computing, 34(3), 1959-1970. https://doi.org/10.32604/iasc.2022.025957
Vancouver Style
Rajeswari S, Arunmozhi SA, Venkataramani Y. Optimized reinforcement learning based multipath transfer protocol in wireless mesh network. Intell Automat Soft Comput . 2022;34(3):1959-1970 https://doi.org/10.32604/iasc.2022.025957
IEEE Style
S. Rajeswari, S.A. Arunmozhi, and Y. Venkataramani "Optimized Reinforcement Learning Based Multipath Transfer Protocol in Wireless Mesh Network," Intell. Automat. Soft Comput. , vol. 34, no. 3, pp. 1959-1970. 2022. https://doi.org/10.32604/iasc.2022.025957



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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