摘要
提出了一种基于时延的模糊控制TCP拥塞控制算法(DFCC),采用当前RTT变化和历史变化相结合的方法,通过一个模糊控制器调节CWND,从而对网络拥塞情况有了更好的估计和反应,有效解决了突发拥塞降低吞吐量的问题。仿真试验表明,改进的算法更加准确地监测到网络拥塞,提高了网络的吞吐量。
A fuzzy TCP congestion control algorithm is proposed. The algorithm achieves better evaluation on network congestion by the way of combining the current and historical RTT changes which are used to adjust congestion window (CWND) with fuzzy controller, so that the problem of low throughput under abrupt congestion situations is solved effectively. The performance of the algorithm has been tested and evaluated on NS simulator and the simulation results demonstrate that the algorithm inspects network congestion more exactly and accordingly increases network throughput.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2010年第2期260-265,共6页
Journal of University of Electronic Science and Technology of China
基金
国家863高技术研究基金(2007AA01Z443)
电子科技大学青年科学基金(JX05031)的资助