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机构地区:[1]大连大学信息学院通信与网络重点实验室,大连116622
出 处:《计算机科学》2017年第B11期302-307,共6页Computer Science
基 金:国家自然科学基金(61301151;91338104)资助
摘 要:针对SCPS-TP(Space Communications Protocol Standards Transport Protocol)协议的Vegas算法在LEO(Low Earth Orbit)卫星网络中吞吐量下降的问题,提出了一种自适应Vegas-AD(Adaptive)拥塞控制算法。该算法在分析Vegas的基础上,细化往返时延RTT的计算方法,使其能够更加精确地调整拥塞窗口;优化拥塞窗口的增长策略,提高了拥塞避免阶段的带宽竞争力;同时,提出基于网络拥塞程度的自适应窗口调整因子。仿真结果表明,VegasAD算法的带宽竞争力明显高于Vegas,并且该算法能较大幅度地提高网络吞吐量。Aimming at throughput degradation caused by the Vegas algorithm of SCPS-TP (Space Communications Protocol Standards Transport Protocol) in LEO (Low Earth Orbi t) satellite network, an adaptive congestion control al-gorithm named Vegas-AD (Adaptive) was proposed. The algorithm based on the analysis of the Vegas improves calcu-lat ion method of RTT(Round-Trip Time) so that it can adjust the congestion window more accurately, and optimizes the growth strategy congestion window, which can improve the bandwidth competitiveness of the congestion avoidance phase. At the same t ime,an factor which can adaptively adjust value of the congestion window is put forward according to the degree of network congestion. The results show that the bandwidth competitiveness of Vegas-AD algorithm is signif icant ly higher than that of Vegas,and the new algorithm can improve the network throughput greatly.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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