Open AccessA User Mobility-Based Rate Adaptation Approach for Dynamic HTTP Streaming
Author(s) -
Renkang Chen,
Zeping Li,
Huawei Yang,
Yangshang Xue
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1684/1/012117
Subject(s) - computer science , adaptation (eye) , mobility model , occupancy , throughput , computer network , real time computing , real time streaming protocol , wireless , telecommunications , world wide web , engineering , the internet , architectural engineering , physics , optics
It is common for users to use smartphones to watch streaming videos when they are walking, taking a bus, or taking a subway. However, the current streaming rate adaptation algorithms are mostly based on the available network throughput or the player buffer occupancy, and the user mobility state is less considered. In order to improve the user experience quality under the mobile streaming media, we propose a user mobility-based rate adaptation approach, which classifies the user mobility state using the random forests algorithm and adopts different rate decision under different mobility states. The experimental results show that compared with popular approaches, our approach reduces the re-buffer events by 24% on average, and reduces the data traffic consumption by 19% on average.