Network Quality-Aware Architecture for Adaptive Video Streaming from Drones

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.