Optimizing Quality of Experience for Long-Range UAS Video Streaming
Optimizing Quality of Experience for Long-Range UAS Video Streaming
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DOI：
10.1109/iwqos52092.2021.9521330
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Russell Shirey;Sanjay G. Rao;S. Sundaram
中科院分区：
文献类型：
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作者：
Russell Shirey;Sanjay G. Rao;S. Sundaram
在长距离距离内运营无人机系统（UAS）有很多新兴的兴趣。不幸的是，目前尚不清楚这些距离处的网络连接是否足以启用具有严格的性能需求的应用程序。在本文中，我们在视频流的背景下考虑了这个问题，这是一个重要的UAS用例。我们做出三项贡献。首先，我们表征了从现实世界UAS飞行测试收集的网络数据。我们的结果表明，尽管辍学（即延长的性能较差）出现了挑战，但有可能启用视频流延迟，而吞吐量与飞行路径（距离和方向）的相关性提供了新的机会。其次，我们提出Proteus，这是针对远程UAS设置的视频流的第一个系统。 Proteus通过明确考虑撤离并利用飞行路径信息而为互联网设置开发的自适应比特率（ABR）算法。第三，通过在仿真测试床上对现实世界的飞行轨迹进行实验，我们表明，在大约4英里的距离上，Proteus可将遇到重新融合的观看次数的比例从14.33％减少到1.57％，同时也显着改善了良好的良好。接受的复合视频交付指标。总体而言，我们的结果表明了在长期距离内使用动态UAS网络启用视频流的希望。
There is much emerging interest in operating Unmanned Aerial Systems (UAS) at long-range distances. Unfortunately, it is unclear whether network connectivity at these distances is sufficient to enable applications with stringent performance needs. In this paper, we consider this question in the context of video streaming, an important UAS use-case. We make three contributions. First, we characterize network data collected from real-world UAS flight tests. Our results show that while dropouts (i.e., extended periods of poor performance) present challenges, there is potential to enable video streaming with modest delays, and correlation of throughput with flight path (both distance and orientation) provides new opportunities. Second, we present Proteus, the first system for video streaming targeted at long-range UAS settings. Proteus is distinguished from Adaptive Bit Rate (ABR) algorithms developed for Internet settings by explicitly accounting for dropouts, and leveraging flight path information. Third, through experiments with real-world flight traces on an emulation test-bed, we show that at distances of around 4 miles, Proteus reduces the fraction of a viewing session encountering rebuffering from 14.33% to 1.57%, while also significantly improving well-accepted composite video delivery metrics. Overall, our results show promise for enabling video streaming with dynamic UAS networks at long-range distances.