摘要
传统网络多路径传输拥塞控制过程中容易出现高时延的问题,因此提出基于遗传算法的网络多路径传输拥塞控制方法。划分多路径数据流类型和大小,筛选初始所有路径,构建有效路径集并设置更新周期,调度数据流到有效路径内,利用遗传算法设计控制器将路径的队列长度和链路速率作为输入量,输出结果即为拥塞控制结果。实验结果表明,该传输拥塞控制方法响应时间短、网络吞吐量大,在拥塞控制上的整体适应性得到了提高。
The traditional network multi-path transmission congestion control process is prone to the problem of high delay,so a network multi-path transmission congestion control method based on genetic algorithm is proposed.Divide the types and sizes of multi-path data streams,screen all initial paths,build an effective path set and set an update period,schedule data streams to the effective paths,and use genetic algorithm to design a controller with the queue length and link rate of paths as inputs,and the output result is the congestion control result.The experimental results show that the transmission congestion control method has short response time and large network throughput,and the overall adaptability in congestion control has been improved.
作者
王永
李腾
WANG Yong;LI Teng(Shangqiu Polytechnic School of Transportation,Shangqiu 476000,China)
出处
《通信电源技术》
2023年第2期35-37,共3页
Telecom Power Technology
关键词
遗传算法
网络通信
多路径
传输拥塞
genetic algorithm
network communications
multipath
transmission congestion
作者简介
王永(1989-),男,湖北潜江人,硕士研究生,助教,主要研究方向为控制工程、智能网联汽车。
