摘要
针对随机早期检测(RED)算法在网络拥塞不严重的时候丢包率相对较大,而在较严重的时候丢包率相对较小的问题,提出了一种非线性高阶RED拥塞控制算法,目的在于提高算法对网络拥塞的调节能力。该算法建立了一个高阶分组丢弃函数模型,在最小门限值附近丢包率缓慢增长,在最大门限值附近丢包率快速增长,有效地控制了平均队列长度。NS2仿真实验验证了改进算法可有效地提高网络性能。
With regard to the phenomena that Random Early Detection（RED） packet loss rate is high while the network congestion is not serious and vice versa,the congestion control algorithm of non-linear high-order RED was put forward to control the ineffectiveness of the network.The algorithm has established a high-order function model which has good congestion control ability.By using the non-linear control to mark or discard fragments with lower and higher probability near low and high threshold respectively,it can control average queue length effectively.Meanwhile,NS2 stimulation has verified that the algorithm is effective in improving the network performance.
出处
《计算机应用》
CSCD
北大核心
2011年第10期2650-2653,共4页
journal of Computer Applications
关键词
拥塞控制
随机早期检测
主动队列管理
congestion control
Random Early Detection（RED）
Active Queue Management（AQM）
