A Deep Learning-Based Routing Approach for Wireless Mesh Backbone Networks-Reference-Cited by-同舟云学术

A Deep Learning-Based Routing Approach for Wireless Mesh Backbone Networks

Published:2023 Issue: Volume:11 Page:49509-49518
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Eyobu Odongo Steven¹^ORCID,Edwinah Kamwesigye²^ORCID

Affiliation:

1. Department of Networks, School of Computing and Informatics Technology, Makerere University, Kampala, Uganda

2. Geospatial and Computational Intelligence Laboratory, School of Computing and Informatics Technology, Makerere Univesity, Kampala, Uganda

Funder

Mak-Sida

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10128120.pdf?arnumber=10128120

Reference33 articles.

1. Priority based trust efficient routing using ant colony optimization for IoT-based mobile wireless mesh networks;narayana;Int J Intell Eng Syst,2022

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

3. Maximum Throughput and Fair Bandwidth Allocation in Multi-Channel Wireless Mesh Networks

4. Dynamic routing algorithm in wireless mesh network

5. QR-SDN: Towards Reinforcement Learning States, Actions, and Rewards for Direct Flow Routing in Software-Defined Networks

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