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Loss Differentiation and Congestion Control in Heterogeneous Networks

机译:异构网络中的损失分化与拥塞控制

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Aiming at the lack of effective packet loss differentiation mechanism in existing heterogeneous network congestion control strategies, which leads to efficient use of bandwidth, a packet loss differentiation mechanism based on Kalman filter is proposed and applied to TFRC congestion control strategy. In this algorithm, the average packet arrival delay in the stable phase and the packet arrival time interval in the packet loss phase are used to determine the type of the packet loss and the arrival interval is estimated by using Kalman filter to reduce the measurement error, and then the packet loss rate according to the packet loss type is recalculated. With the packet loss rate, the congestion control strategy starts to control the sender's rate. Experiments show that this algorithm can make congestion control policy more accurately identify the network status and improve the network utilization so that it can better meet the video streaming application requirements.
机译:旨在缺乏现有的异构网络拥塞控制策略中有效的丢失分化机制,这导致有效利用带宽,提出了一种基于卡尔曼滤波器的分组丢失分化机制,并应用于TFRC拥塞控制策略。在该算法中,稳定阶段的平均分组到达延迟和分组丢失阶段中的分组到达时间间隔用于确定数据包丢失的类型,并且通过使用卡尔曼滤波器来估计到达间隔以减少测量误差,然后重新计算根据分组丢失类型的分组丢失率。通过数据包丢失率,拥塞控制策略开始控制发件人的速率。实验表明,该算法可以使拥塞控制策略更准确地识别网络状态并提高网络利用率,以便它可以更好地满足视频流应用要求。

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