电讯技术2025，Vol.65Issue(10)：1571-1578,8.DOI:10.20079/j.issn.1001-893x.240513002
基于多目标的工业SDN智能路由算法优化
Industrial SDN Intelligent Routing Algorithm Optimization Based on Multi-objective
摘要
Abstract
A software defined network(SDN)intelligent routing algorithm based on multi-agent deep reinforcement learning combined graph neural network is proposed to solve the problem of multi-objective optimization of network quality of service and difficult network graph structure.The algorithm mainly adopts the multi-agent system to optimize three indexes of service delay requirements,network traffic and link load through distributed cooperative control.For the models that are generally unable to realize the universality of network scenarios,the graph neural network is adopted to carry out graph structure message transmission,and the dynamic weight matching method is adopted to integrate the multi-objective problems and optimize the network performance.Experimental results show that compared with the deep Q-network(DQN)algorithm,the proposed algorithm has increased the number of traffic flows meeting the delay requirements by an average of 19.70%,improved network traffic by 17.35%,and achieved a 12.04%improvement in link load balancing,effectively enhancing the quality and performance of network services.关键词
软件定义网络(SDN)/多目标优化/多智能体深度强化学习/网络服务质量Key words
software defined network(SDN)/multi-objective optimization/multi-agent deep reinforcement learning/network quality of service分类
信息技术与安全科学引用本文复制引用
张晓莉,刘夏茜,雷雨声,王斌..基于多目标的工业SDN智能路由算法优化[J].电讯技术,2025,65(10):1571-1578,8.基金项目
国家自然科学基金重点项目(U19B2015) （U19B2015）
