Application of Q‐Learning in Routing of Software‐Defined Wireless Mesh Network-Reference-Cited by-同舟云学术

Application of Q‐Learning in Routing of Software‐Defined Wireless Mesh Network

Published:2021-11-30 Issue:3 Volume:17 Page:387-397
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Transactions Elec Engng

Author:

Leevangtou Khamxay¹,Ochiai Hideya²,Aswakul Chaodit¹

Affiliation:

1. Wireless Network and Future Internet Research Unit, Department of Electrical Engineering, Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand

2. Information and Communication Engineering, Graduate School of Information Science and Technology The University of Tokyo Tokyo 113‐8656 Japan

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23527

Reference20 articles.

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4. OpenRoads: Empowering research in mobile networks;Yap K‐K;SIGCOMM Computer Communication Review,2010

5. Schulz‐ZanderJ MayerC CiobotaruB SchmidS FeldmannA.Opensdwn: Programmatic control over home and enterprise wifi.Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research 2015;1–12.

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3. A Deep Learning-Based Routing Approach for Wireless Mesh Backbone Networks;IEEE Access;2023

4. Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm;IEEE Access;2022