Applying Dynamic HTTP Adaptive Streaming over Unmanned Aerial Vehicle Networks

Abstract

With the growing demand for UAVs (Unmanned Aerial Vehicles) such as drones, technology for streaming video using drones is also improving. However, networks for drones are not as stable as the topology continuously changes. To provide optimal QoE (Quality of Experience) in these networks, DASH (Dynamic Adaptive Streaming over HTTP) can be applied to drones. In DASH, the source video is segmented into short duration chunks of 2–10 seconds, each of which is encoded at several different bitrate levels and resolutions. This paper provides prototypes for applying DASH to drones. The prototype consists of a Raspberry Pi, a video processing server, web servers, a dash.js, and Exoplayer-based client