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Cooperative flow regulation protocol for real-time and non-real-time applications over satellite network
Journal of Ambient Intelligence and Humanized Computing Pub Date : 2020-05-21 , DOI: 10.1007/s12652-020-02115-7
J. Govindarajan , G. Kousalya

In current times, the intensity of Internet usage has been on a relentless rise, in pace with the release of numerous real-time applications like video transmission and non-real-time applications. Due to high error channels, the end-users will observe poor quality video over satellite network. The applications are competing themselves to inject their traffic into the network and hence end users get unfair shares of the bandwidth for the video transmissions. Also, the high transmission rate of video applications affects traditional Internet applications like e-mail. TCP-friendly rate control (TFRC), TFRC-satellite and multiple TFRC streams (MulTFRC), which are intended to provide congestion control, error control and increase bandwidth (BW) utilization respectively, may fail over the satellite networks with high error rate and high congestion. Besides, these connection-oriented protocols increase the applications overhead. In this paper, we present a cooperative flow regulation protocol (CFR), which provides fair access to both real-time and non-real-time applications, over networks with high congestion and high error. Verification of the proffered approach, by simulations, show that the CFR protocol reduces the loss of video frames by 30–40%, compared to DCCP and MulTFRC, and 50–60% compared to user datagram protocol (UDP) traffic, without compromise of the video quality.



中文翻译:

卫星网络上实时和非实时应用的协作流量调节协议

目前,随着视频传输和非实时应用等众多实时应用的发布,互联网的使用强度一直在不断提高。由于高错误通道,最终用户将在卫星网络上观看质量较差的视频。这些应用程序在竞争自己,以将其流量注入网络,因此最终用户将获得不公平的视频传输带宽份额。此外,视频应用程序的高传输速率也会影响电子邮件等传统Internet应用程序。TCP友好速率控制(TFRC),卫星TFRC和多个TFRC流(MulTFRC)分别用于提供拥塞控制,错误控制和增加带宽(BW)利用率,它们可能会在具有高错误率和高误码率的卫星网络上发生故障。高拥挤。此外,这些面向连接的协议增加了应用程序开销。在本文中,我们提出了一种协作式流量调节协议(CFR),该协议可通过高拥塞和高错误的网络提供对实时和非实时应用程序的公平访问。通过仿真对所提供方法的验证表明,与DCCP和MulTFRC相比,CFR协议将视频帧的损失减少了30–40%,与用户数据报协议(UDP)流量相比,将其减少了50–60%。视频质量。

更新日期:2020-05-21
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