Intelligent Routing Technology for Multi-terminal Access in Integrated Network

Aiming at the problem of network load balancing caused by the drastic fluctuation of network traffic caused by the access of a large number of terminal devices in the integrated heterogeneous network,an intelligent routing algorithm TDANRA based on reinforcement learning is proposed.Fine-grained and...

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Main Author: XU Yi-ming, MA Li, FU Ying-xun, LI Yang, MA Dong-chao
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-12-01
Series:Jisuanji kexue
Subjects:
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-12-332.pdf
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author XU Yi-ming, MA Li, FU Ying-xun, LI Yang, MA Dong-chao
author_facet XU Yi-ming, MA Li, FU Ying-xun, LI Yang, MA Dong-chao
author_sort XU Yi-ming, MA Li, FU Ying-xun, LI Yang, MA Dong-chao
collection DOAJ
description Aiming at the problem of network load balancing caused by the drastic fluctuation of network traffic caused by the access of a large number of terminal devices in the integrated heterogeneous network,an intelligent routing algorithm TDANRA based on reinforcement learning is proposed.Fine-grained and high-precision network traffic status parameters are obtained by software-defined network technology,TDANRA algorithm automatically generates real-time routing policies based on network traffic status and link bandwidth utilization threshold adjustment mechanism to guide the forwarding of network traffic,so as to solve the problem of drastic fluctuation of network traffic.Simulation results show that TDANRA algorithm can realize load ba-lancing of network traffic and reduce end-to-end transmission delay and data packet loss rate when a large number of terminal devices are connected to the network.
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spelling doaj.art-a06626cdd52a406b9dec975d31f170ba2023-04-18T02:32:59ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2022-12-01491233233910.11896/jsjkx.210900042Intelligent Routing Technology for Multi-terminal Access in Integrated NetworkXU Yi-ming, MA Li, FU Ying-xun, LI Yang, MA Dong-chao0School of Information Science and Technology,North China University of Technology,Beijing 100144,ChinaAiming at the problem of network load balancing caused by the drastic fluctuation of network traffic caused by the access of a large number of terminal devices in the integrated heterogeneous network,an intelligent routing algorithm TDANRA based on reinforcement learning is proposed.Fine-grained and high-precision network traffic status parameters are obtained by software-defined network technology,TDANRA algorithm automatically generates real-time routing policies based on network traffic status and link bandwidth utilization threshold adjustment mechanism to guide the forwarding of network traffic,so as to solve the problem of drastic fluctuation of network traffic.Simulation results show that TDANRA algorithm can realize load ba-lancing of network traffic and reduce end-to-end transmission delay and data packet loss rate when a large number of terminal devices are connected to the network.https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-12-332.pdfsoftware defined network|reinforcement learning|load balancing|intelligent routing|link bandwidth usage thres-hold adjustment mechanism
spellingShingle XU Yi-ming, MA Li, FU Ying-xun, LI Yang, MA Dong-chao
Intelligent Routing Technology for Multi-terminal Access in Integrated Network
Jisuanji kexue
software defined network|reinforcement learning|load balancing|intelligent routing|link bandwidth usage thres-hold adjustment mechanism
title Intelligent Routing Technology for Multi-terminal Access in Integrated Network
title_full Intelligent Routing Technology for Multi-terminal Access in Integrated Network
title_fullStr Intelligent Routing Technology for Multi-terminal Access in Integrated Network
title_full_unstemmed Intelligent Routing Technology for Multi-terminal Access in Integrated Network
title_short Intelligent Routing Technology for Multi-terminal Access in Integrated Network
title_sort intelligent routing technology for multi terminal access in integrated network
topic software defined network|reinforcement learning|load balancing|intelligent routing|link bandwidth usage thres-hold adjustment mechanism
url https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-12-332.pdf
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