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基于SDN网络环境感知的智能路由算法
引用本文:赵季红,张梦雪,乔琳琳,张文娟,卢立伟.基于SDN网络环境感知的智能路由算法[J].计算机工程与应用,2022,58(8):90-95.
作者姓名:赵季红  张梦雪  乔琳琳  张文娟  卢立伟
作者单位:1.西安邮电大学 通信与信息工程学院,西安 710121 2.西安交通大学 电子信息工程学院,西安 710049
基金项目:国家重点研发计划;国家自然科学基金
摘    要:随着网络中海量设备的接入,网络中的环境也日益复杂和多样化,传统的软件定义网络(SDN)路由算法在寻路时没有考虑到网络中的环境因素,如果不考虑这些因素就无法更好地实现对网络节点的实时状态感知,那么也就不能让用户拥有更好的网络体验.针对该问题,结合网络环境信息,提出一种基于SDN网络环境感知的智能路由算法.该算法在时间上进...

关 键 词:软件定义网络  网络环境  感知  属性  预测

Intelligent Routing Algorithm Based on SDN Environment Awareness
ZHAO Jihong,ZHANG Mengxue,QIAO Linlin,ZHANG Wenjuan,LU Liwei.Intelligent Routing Algorithm Based on SDN Environment Awareness[J].Computer Engineering and Applications,2022,58(8):90-95.
Authors:ZHAO Jihong  ZHANG Mengxue  QIAO Linlin  ZHANG Wenjuan  LU Liwei
Affiliation:1.School of Communication and Information Engineering, Xi’an University of Posts & Telecommunications, Xi’an 710121, China 2.School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Abstract:With the access of a large number of devices in the network, the environment in the network is becoming more and more complex and diversified. The traditional software-defined network(SDN) routing algorithm does not consider the environmental factors in the network when it finds the way. If these factors are not considered, the real-time status awareness of network nodes cannot be better realized, then users cannot have a better network experience. In response to this problem, combined with network environment information, an intelligent routing algorithm based on SDN network environment awareness is proposed. This algorithm divides two-dimensionally in time, integrates the attribute information of nodes, calculates the probability of encounter between nodes, and then predicts through BP neural network, and finally selects a suitable relay node to complete the data transmission. Simulation experiments have proved the effectiveness of the algorithm in data transmission rate, delay and transmission hops.
Keywords:software defined network(SDN)  network environment  awareness  attributes  prediction  
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