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Network Quality-Aware Architecture for Adaptive Video Streaming From Drones

机译:网络质量感知架构,用于从无人机的自适应视频流

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摘要

Video streaming over the IP networks presents several challenges for remote drone piloting. To achieve a High Quality of Experience, minimal latency is mandatory. However, wireless links usually impose dynamic changes to the Quality of Service conditions. Moreover, bandwidth limitations can increase both the final perceived latency and packet loss during video streaming. These circumstances require an architecture capable of estimating network performance and applying corrective actions in a timely manner to optimize application-level quality. In this article, we present such an architecture, and discuss the results of its application in video streaming for remote drone piloting. Our proposal offers a framework with low coupling between its functional blocks and high adaptability to dynamic scenarios. Accordingly, we aim to pave the way for reactive applications that leverage edge-computing elements and adapt to network conditions.
机译:IP网络上的视频流呈现出用于远程驱动器的几个挑战。为实现高质量的经验,最小的延迟是强制性的。但是,无线链路通常会对服务质量进行动态变化。此外,带宽限制可以增加视频流期间的最终感知等待时间和丢包。这些情况需要一种能够估计网络性能并及时应用纠正措施以优化应用程序级质量。在本文中,我们提出了这样的架构,并讨论其在视频流中的应用程序的应用程序,用于远程驱动器试验。我们的提案提供了一种框架,其功能块与对动态方案的高适应性之间的耦合很低。因此,我们的目标是为利用边缘计算元件的反应应用程序铺平道路,并适应网络条件。

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