SORT: A System for Adaptive Transmission of Video Over Delay Tolerant Networks

A. Thakur
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Abstract

In challenging environments, opportunistic networks can provide limited communication features in a delay tolerant manner. It is extremely difficult to transmit large data like videos in such environments, as delay may be hours and part of the information may be lost. This article proposes a novel system that uses partial information from prior communication to estimate the network congestion and delay. The video is compressed and packetized using scalable video coding (SVC). Extensions to Spray-and-Wait routing protocols are analyzed to ensure better delivery video quality and lower wastage. Through simulation, including real-world traces, performance of the proposed solutions under multiple scenarios is evaluated. Experimental results show that adaptive control reduces overall delay and minimizes wastage while improving the quality of video at the receiver. Adaptive SVC transmissions demonstrate almost three times increase in decoded content, as compared to non-SVC transmission.
在容忍延迟网络上自适应传输视频的系统
在具有挑战性的环境中,机会网络可以以容忍延迟的方式提供有限的通信功能。在这样的环境中,像视频这样的大数据传输是极其困难的,因为延迟可能是几个小时,部分信息可能会丢失。本文提出了一种利用先前通信的部分信息来估计网络拥塞和延迟的新系统。使用可扩展视频编码(SVC)对视频进行压缩和分组。扩展喷洒和等待路由协议进行了分析,以确保更好的交付视频质量和更低的浪费。通过仿真,包括真实世界的轨迹,评估了所提出的解决方案在多种场景下的性能。实验结果表明,自适应控制在提高接收端视频质量的同时,降低了整体延迟,最大限度地减少了浪费。与非SVC传输相比,自适应SVC传输的解码内容几乎增加了三倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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