Abstract
Video streaming has become an irreplaceable technology in modern smart devices especially with the appearance of dynamic streaming over HTTP (DASH). However, the fluctuating and instability of wireless networks is still one of the greatest challenges to video streaming process. Video quality deteriorates by the amount of time that video streaming process has stopped playing because of the buffer starvation state. In this work, an adaptive rate algorithm is proposed for getting smooth video playback continuity by monitoring the available bandwidth and administrating the video buffer occupancy. Most of the conventional algorithms try to fill the video buffer quickly with available video segments which it may degrade the quality of experience (QoE) since these video segments may have low bitrate versions. So our proposed algorithm administrates the video buffer occupancy and maintains its filling with segments of high quality versions by estimating the available throughput and measuring the video buffer level. The estimation of the available throughput for the next segments is done based on the previously observed throughput of the last downloaded segment that keeps the buffer at accepted level. Through the simulation results, we checked effectiveness and robustness of our proposed algorithm under three different network bandwidth conditions namely: step-down, long term fluctuation and sudden-drop conditions. Simulation results show that the proposed algorithm has fast reaction to these cases through adapting the video bitrate accordingly and maintain the video buffer away from the risk of underflow. Also we compared the proposed algorithm with other conventional algorithms in terms of average video bitrates, number of video bitrate switches and number of playback interruptions. We found that our proposed algorithm outperforms these algorithms in achieving high video bitrates, low number of video bitrate switches and minimum number of playback interruptions.
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Jabbar, S.Q., Kadhim, D.J., Li, Y. (2018). A Proposed Adaptive Rate Algorithm to Administrate the Video Buffer Occupancy for Smooth Video Streaming. In: Fortino, G., Ali, A., Pathan, M., Guerrieri, A., Di Fatta, G. (eds) Internet and Distributed Computing Systems. IDCS 2017. Lecture Notes in Computer Science(), vol 10794. Springer, Cham. https://doi.org/10.1007/978-3-319-97795-9_4
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DOI: https://doi.org/10.1007/978-3-319-97795-9_4
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