摘要
针对网络资源需求大于可用资源引起的网络拥塞致使网络性能下降的问题,在分析队列管理算法DropTail(队尾丢弃)和RED(随机早期检测算法)的基础上,利用NS2软件设计网络拓扑并进行实验仿真.仿真过程从吞吐量、丢包率、时延以及平均队列长度方面进行数据统计分析,结果表明,RED算法在丢包率、时延以及队列长度方面优于DropTail算法,而在吞吐量方面DropTail算法和RED算法趋于一致,且RED算法整体性能优于DropTail算法.
Aiming at the problem of network congestion caused by network resource demand greater than the available resources,which leads to the network performance degradation,based on the analysis of queue management algorithms DropTail(queue end discard algorithm)and RED(random early detection algorithm)simulation,NS2 software was used to design the network topology and perform experimental simulation.The simulation process statistical analysis of data in terms of throughput,packet loss rate,delay and average queue length.The results show that the RED algorithm is superior to the DropTail algorithm in terms of packet loss rate,delay and queue length.But in terms of throughput,the DropTail algorithm and the RED algorithm tend to be consistent,and the overall performance of the RED algorithm is better than the DropTail algorithm.
作者
张奎
ZHANG Kui(School of Computer Science and Technology,Kashi University,Kashi 844000,Xinjiang,China)
出处
《喀什大学学报》
2020年第6期57-60,共4页
Journal of Kashi University
基金
新疆高校科研计划资助项目“基于NS2的网络拥塞以及控制策略仿真研究”(XJEDU2019Y041)
喀什大学校内青年专项课题“基于无线局域网安全的关键技术研究”((17)2615).
