# Evaluation of HTTP/DASH Adaptation Algorithms on Vehicular Networks

## TL;DR

This paper evaluates the performance of various DASH adaptation algorithms in vehicular networks, analyzing their impact on video streaming quality through detailed simulations.

## Contribution

It provides a comprehensive comparison of DASH adaptation algorithms specifically in vehicular environments, highlighting their strengths and weaknesses.

## Key findings

- Different algorithms vary in throughput efficiency
- Some algorithms reduce playback interruptions
- Performance depends on network conditions

## Abstract

Video streaming currently accounts for the majority of Internet traffic. One factor that enables video streaming is HTTP Adaptive Streaming (HAS), that allows the users to stream video using a bit rate that closely matches the available bandwidth from the server to the client. MPEG Dynamic Adaptive Streaming over HTTP (DASH) is a widely used standard, that allows the clients to select the resolution to download based on their own estimations. The algorithm for determining the next segment in a DASH stream is not partof the standard, but it is an important factor in the resulting playback quality. Nowadays vehicles are increasingly equipped with mobile communication devices, and in-vehicle multimedia entertainment systems. In this paper, we evaluate the performance of various DASH adaptation algorithms over a vehicular network. We present detailed simulation results highlighting the advantages and disadvantages of various adaptation algorithms in delivering video content to vehicular users, and we show how the different adaptation algorithms perform in terms of throughput, playback interruption time, and number of interruptions.