An improved method of AODV routing protocol using reinforcement learning for ensuring QoS in 5G-based mobile ad-hoc networks

IF 4.1 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS ICT Express Pub Date : 2024-02-01 DOI:10.1016/j.icte.2023.07.002
Le Huu Binh , Thuy-Van T. Duong
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Abstract

5G-based MANET has received a lot of attention recently. Its fundamental feature is that nodes are constantly subjected to high traffic loads, while QoS requirements are extremely stringent. When applied to 5G-based MANETs, existing routing protocols have shown drawbacks. In this paper, we propose an enhanced AODV protocol solution for 5G-based MANETs. Using reinforcement learning, each node updates a state information database of intermediate nodes along routes to destinations. This database is used by the routing algorithm to find guaranteed QoS routes. Our solution is highly efficient in terms of throughput, end-to-end delay, and SNR, according to the simulation results.

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基于 5G 的移动 ad-hoc 网络中使用强化学习确保 QoS 的 AODV 路由协议改进方法
基于 5G 的城域网最近受到了广泛关注。其基本特征是节点持续承受高流量负载,同时对 QoS 的要求极为严格。在应用于基于 5G 的城域网时,现有的路由协议显示出了缺点。本文针对基于 5G 的城域网提出了增强型 AODV 协议解决方案。通过强化学习,每个节点都会更新通往目的地路由沿线中间节点的状态信息数据库。路由算法使用该数据库来寻找保证质量的路由。根据仿真结果,我们的解决方案在吞吐量、端到端延迟和信噪比方面都非常高效。
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来源期刊
ICT Express
ICT Express Multiple-
CiteScore
10.20
自引率
1.90%
发文量
167
审稿时长
35 weeks
期刊介绍: The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.
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