A Review on “Real-Time Adaptive Algorithm for Video Streaming Over Multiple Wireless Access Networks”
Keywords:
Video streaming, Markov Decision Process (MDP), quality of service (PSS), and Scalable Video Coding (SVC).Abstract
Video streaming is picking up fame among portable clients. The most recent cell phones, for example, advanced mobile phones and tablets, are outfitted with various remote system interfaces. Instructions to productively and cost-adequately use different connections to enhance video streaming quality needs examination. Keeping in mind the end goal to keep up high video streaming quality while diminishing the remote service cost, in this paper, the ideal video streaming procedure with different connections is figured as a Markov Decision Process (MDP). The prize capacity is intended to consider the quality of service (QoS) necessities for video movement, for example, the startup inactivity, playback familiarity, normal playback quality, playback smoothness and remote service cost. To unravel the MDP continuously, we propose a versatile, best-activity look calculation to get a problematic arrangement. To assess the execution of the proposed adjustment calculation, we actualized a proving ground utilizing the Android cellular telephone and the Scalable Video Coding (SVC) codec. Test results show the possibility and adequacy of the proposed adjustment calculation for portable video streaming applications, which beats the current cutting edge adjustment calculations.
References
[1] T. Stockhammer, “Dynamic adaptive streaming over HTTP –: standards and design principles,” in ACM MMSys’11, 2011, pp. 133–144.
[2] K. Tappayuthpijarn, T. Stockhammer, and E. Steinbach, “HTTP-based scalable video streaming over mobile networks,” in IEEE ICIP’11, 2011, pp. 2193–2196.
[3] R. Mok, X. Luo, E. Chan, and R. Chang, “QDASH: a QoE-aware DASH system,” in ACM MMSys’12, 2012, pp. 11–22.
[4] S. Xiang, L. Cai, and J. Pan, “Adaptive scalable video streaming in wireless networks,” in ACM MMSys’12, 2012, pp. 167–172.
[5] C. Mueller, S. Lederer, and C. Timmerer, “A proxy effect analyis and fair adaptation algorithm for multiple competing dynamic adaptive streaming over HTTP clients,” in IEEE VCIP’12, 2012, pp. 1–6.
[6] T. Kupka, P. Halvorsen, and C. Griwodz, “Performance of on-off traffic stemming from live adaptive segmented HTTP video streaming,” in IEEE LCN’12, 2012, pp. 401–409.
[7] S. Akhshabi, S. Narayanaswamy, A. C. Begen, and C. Dovrolis, “An experimental evaluation of rate-adaptive video players over HTTP,” Signal Processing: Image Communication, vol. 27, no. 4, pp. 271–287, 2012.
[8] S. Xiang, “Scalable Video Transmission over Wireless Networks,” Ph.D. dissertation, University of Victoria, 2013.
[9] L. Cai, S. Xiang, Y. Luo, and J. Pan, “Scalable modulation for video transmission in wireless networks,” IEEE Trans. Veh. Technol., vol. 60, no. 9, pp. 4314–23, 2011.
[10] S. Xiang and L. Cai, “Transmission control for compressive sensing video over wireless channel,” IEEE Trans. Wireless Commun., vol. 12, no. 3, pp. 1429–37, 2013.
[11] M. Kobayashi, H. Nakayama, N. Ansari, and N. Kato, “Robust and efficient stream delivery for application layer multicasting in heterogeneous networks,” IEEE Trans. Multimedia, vol. 11, no. 1, pp. 166–176, 2009.
[12] R. Zhang, R. Ruby, J. Pan, L. Cai, and X. Shen, “A hybrid reservation/contention-based mac for video streaming over wireless networks,” IEEE J. Sel. Areas Commun., vol. 28, no. 3, pp. 389–398, 2010.
[13] T. Luan, L. Cai, J. Chen, X. Shen, and F. Bai, “Engineering a distributed infrastructure for large-scale cost-effective content dissemination over urban vehicular networks,” IEEE Trans. Veh. Technol., 2013.
[14] A. Yaver and G. Koudouridis, “Utilization of multi-radio access networks for video streaming services,” in IEEE WCNC’09, 2009,pp.1–6.
[15] D. Kaspar, K. Evensen, P. Engelstad, and A. Hansen, “Using HTTP pipelining to improve progressive download over multiple heterogeneous interfaces,” in IEEE ICC’10, 2010, pp. 1–5.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Under this license, authors retain ownership of the copyright for their articles. By submitting to the International Journal of Advanced Research in Science, Management, and Technology (IJARSMT), authors grant the journal the right of first publication. Users are free to share, copy, and redistribute the material in any medium or format, and to adapt, remix, transform, and build upon the material for any purpose, including commercially, provided that appropriate credit is given to the original author(s) and the journal, a link to the license is provided, and any changes made are indicated.
