doi: 10.17586/2226-1494-2016-16-4-710-715


SVC VIDEO STREAM ALLOCATION AND ADAPTATION IN HETEROGENEOUS NETWORK

E. A. Pakulova


Read the full article  ';
Article in Russian

For citation: Pakulova E.A. SVC video stream allocation and adaptation in heterogeneous network. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2016, vol. 16, no. 4, pp. 710–715. doi: 10.17586/2226-1494-2016-16-4-710-715

Abstract

The paper deals with video data transmission in format H.264/SVC standard with QoS requirements satisfaction. The Sender-Side Path Scheduling (SSPS) algorithm and Sender-Side Video Adaptation (SSVA) algorithm were developed. SSPS algorithm gives the possibility to allocate video traffic among several interfaces while SSVA algorithm dynamically changes the quality of video sequence in relation to QoS requirements. It was shown that common usage of two developed algorithms enables to aggregate throughput of access networks, increase parameters of Quality of Experience and decrease losses in comparison with Round Robin algorithm. For evaluation of proposed solution, the set-up was made. The trace files with throughput of existing public networks were used in experiments. Based on this information the throughputs of networks were limited and losses for paths were set. The results of research may be used for study and transmission of video data in heterogeneous wireless networks.


Keywords: multipath video data transmission, video adaptation, heterogeneous network, scalable video coding

References

1. Index C.V.N. Forecast and Methodology, 2014-2019 White Paper. Technical Report. Cisco, 2015.
2. Wu J., Cheng B., Yuen C., Shang Y., Chen J. Distortion-aware concurrent multipath transfer for mobile video streaming in heterogeneous wireless networks. IEEE Transactions on Mobile Computing, 2015, vol. 14, no. 4, pp. 688–701. doi: 10.1109/TMC.2014.2334592
3. Yoon J., Banerjee S., Zhang H., Rangarajan S. MuVi: a multicast video delivery scheme for 4G cellular networks. Proc. 18th Annual Int. Conf. on Mobile computing and networking. Istanbul, Turkey, 2012, pp. 209–220. doi: 10.1145/2348543.2348571
4. Chebrolu K., Rao R.R. Bandwidth aggregation for real-time applications in heterogeneous wireless networks. IEEE Transactions on Mobile Computing, 2006, vol. 5, no. 4, pp. 388–403. doi: 10.1109/TMC.2006.1599407
5. Jurca D., Frossard P. Video packet selection and scheduling for multipath streaming. IEEE Transactions on Multimedia, 2007, vol. 9, no. 3, pp. 629–641. doi: 10.1109/TMM.2006.888017
6. Ramaboli A.L., Falowo O.E., Chan A.H. Bandwidth aggregation in heterogeneous wireless networks: a survey of current approaches and issues. Journal of Network and Computer Applications, 2012, vol. 35, no. 6, pp. 1674–1690. doi: 10.1016/j.jnca.2012.05.015
7. Nightingale J., Wang Q., Grecos C. Optimised transmission of H. 264 scalable video streams over multiple paths in mobile networks. IEEE Transactions on Consumer Electronics, 2010, vol. 56, no. 4, pp. 2161–2169. doi: 10.1109/TCE.2010.5681086
8. Singh V., Ahsan A., Ott J. MPRTP: multipath considerations for real-time media. Proc. 4th ACM Multimedia Systems Conference. Oslo, Norway, 2013, pp. 190–201. doi: 10.1145/2483977.2484002
9. Information technology. Coding of audio-visual objects. Part 10: Advanced video coding. ISO/IEC 14496-10. 2010.
10. Sagatov E.S., Sukhov A.M. Improving Internet videostreaming quality using duplication of key frames. Vestnik SSAU, 2011, no. 2, 260–268. (In Russian)
11. Pakulova E. Multimedia traffic allocation over multiple paths in heterogeneous network. Izvestiya SFedU. Engineering Sciences, 2014, no. 8, pp. 250–258. (In Russian)
12. Singh V. et al. Multipath RTP. Internet draft, IETF, 2013.
13. Ryndin A.V., Pakulova E.A. System architecture of multi streaming of multimedia data. Fundamental'nye i prikladnye aspekty komp'yuternykh tekhnlogii i informatsionnoi bezopasnosti. Rostov-na-Donu, Russia, 2015, pp. 231–234. (In Russian)
14. Video Traces for Network Performance Evaluation. Available at: trace.eas.asu.edu/tracemain.html (accessed 15.06.2016).
15. Miller K., Al-Tamimi A.K., Wolisz A. QoE-Based low-delay live streaming using throughput predictions // arXiv preprint arXiv:1603.00859, 2016, 41 p.
16. Huynh-Thu Q., Ghanbari M. Scope of validity of PSNR in image/video quality assessment. Electronics Letters, 2008, vol. 44, no. 13, pp. 800–801. doi: 10.1049/el:20080522
 



Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2022 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика