Adaptive packet scheduling for scalable video streaming with network coding |
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| Affiliation: | 1. School of Information Science and Engineering, Shandong Normal University, Jinan 250014, Shandong Province, China;2. Institute of Data Science and Technology, Shandong Normal University, Jinan 250014, Shandong Province, China;1. Shanghai Jiao Tong University, School of Aeronautics and Astronautics, 800 Dongchuan Road, Shanghai 200240, China;2. Ecole Centrale Lyon, LIRIS, UMR 5205 CNRS, 36 Avenue Guy de Collongue, Ecully 69130, France;3. University of Shanghai For Science and Technology, School of Optical-Electrical and Computer Engineering, 516 Jungong Road, Shanghai 200240, China;1. Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran;2. Department of Electrical Engineering, Faculty of Engineering, Urmia University, Urmia, Iran;1. Department of Electrical and Computer Engineering, Isfahan University of Technology, 84156-83111, Iran;2. University of Michigan Center for Integrative Research in Critical Care, Ann Arbor 48109, USA;3. Dept. of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor 48109, USA;4. School of Computer Engineering, Nanyang Technological University, 639798, Singapore;5. Michigan Center for Integrative Research in Critical Care, USA |
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| Abstract: | Over the last decade, the emergence of new multimedia devices has motivated the research on efficient media streaming mechanisms that adapt to dynamic network conditions and heterogeneous devices’ capabilities. Network coding as a rateless code has been applied to collaborative media streaming applications and brings substantial improvements regarding throughput and delay. However, little attention has been given to the recoverability of encoded data, especially for the streaming with a strict deadline. This in turn leads to severe quality of experience. In this paper, we solve the unrecoverable transmission by proposing a multi-generation packet scheduling problem, which is treated as a video quality maximization problem and solved using dynamic programming algorithm. Experimental results confirm that the proposed algorithm brings better data recoverability and better quality of service in terms of video quality, delivery ratio, lower redundancy rate under different network sizes. |
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| Keywords: | Network coding Scalable video streaming Live streaming P2P network |
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