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QoE Enhancements for Video Traffic in Wireless Networks through Selective Packet Drops

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Computational Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 481))

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Abstract

This paper proposes a queuing technique for important video frame packets with the objective to improve the performance of video transmission as perceived by the end users, across the IEEE 802.11e network. The proposed mechanism preserves the video Quality of Experience (QoE) by avoiding the I-Frames transmitted as part of the Group of Pictures (GoP) from being dropped during queue congestion. The method is evaluated using the NS-3 simulator with the Evalvid module and the results demonstrate the video flows will have better in Mean Opinion Score from the subjective evaluation point of view compared to the original IEEE 802.11e queueing.

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References

  1. Braden R, Clark D, Shenker S.: RFC1633: Integrated Services in the Internet Architecture: an Overview. IETF RFC 1633, July 1–28 (1994)

    Google Scholar 

  2. Khan A, Sun L, Ifeachor E: Content Clustering Based Video Quality Prediction Model for MPEG4 Video Streaming over Wireless Networks. Journal of Multimedia 4:228–239 (2009).

    Google Scholar 

  3. Arabi M, Ghita B, Wang X (2010) Improving Fairness in Ad Hoc Networks through Collision Rate Control. In: International Network Conference. pp 51–59, Heidelberg, Germany (2010).

    Google Scholar 

  4. Kosek-Szott K, Natkaniec M, Szott S: What’s new for QoS in IEEE 802.11? IEEE Network (6), 95-104 (2013).

    Google Scholar 

  5. Vassiliou V, Antoniou P, Giannakou I, Pitsillides A.: Requirements for the Transmission of Streaming Video in Mobile Wireless Networks. In: International Conference on Artificial Neural Network. pp 528–537, Athens, Greece (2006).

    Google Scholar 

  6. Stanley M Internet Trends (2010).

    Google Scholar 

  7. Cisco: Cisco Visual Networking Index : Global Mobile Data Traffic Forecast Update, 2010 – 2015 (2011).

    Google Scholar 

  8. Nielsen: The Total Audience Report (2014).

    Google Scholar 

  9. Cisco: Cisco Visual Networking Index : Forecast and Methodology , 2014 – 2019 (2015)

    Google Scholar 

  10. Jain RMedia vision - Experience Isn’t Only Screen Deep. IEEE Multimedia 10, (1),80–81 (2003).

    Google Scholar 

  11. Lingfen S, Is-Haka M, Emmanuel J, Emmanuel I.: Guide to Voice and Video over IP. Springer (2013).

    Google Scholar 

  12. Anitha A, Jayakumari J.: Performance Analysis of WLAN Under Variable Number of Nodes Using the Adjustable Parameters in EDCA. Journal of Theoretical and Applied Information Technoly 60(2), 351–357(2014).

    Google Scholar 

  13. Abu-khadrah A, Zakaria Z, Othman M.: Evaluate QOS parameters for VOIP using IEEE 802.11 (DCF) and IEEE 802.11e (EDCA). Australian Journal of Basic and Applied Science 8, 265–272 (2014).

    Google Scholar 

  14. Son S, Park K, Park E: Adaptive tuning of IEEE 802.11e EDCA for medical-grade QoS. In: 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, pp 650–651, Da Nang, Vietnam (2013)

    Google Scholar 

  15. Ksentini A, Naimi M, Gueroui A.: Toward an Improvement of H.264 Video Transmission over IEEE 802.11e Through a Cross-Layer Architecture. IEEE Communications Magazine 44(1), 107–114 (2006).

    Google Scholar 

  16. Lin C-H, Shieh C-K, Ke C-H.: An Adaptive Cross-Layer Mapping Algorithm for MPEG4 Video Transmission over IEEE 802.11e WLAN. Telecommunication Sysemt 42, 223–234 (2009).

    Google Scholar 

  17. Abdel Khalek A, Caramanis C, Heath RW A Cross-Layer Design for Perceptual Optimization Of H.264/SVC with Unequal Error Protection. IEEE Journal on Selected Areas in Communication 30, 1157–1171 (2012).

    Google Scholar 

  18. Yao XX-W, Wang W, Yang S.: IPB-frame Adaptive Mapping Mechanism for Video Transmission over IEEE 802.11e WLANs. ACM SIGCOMM Computer Communication Reviews 44, 5–12 (2014).

    Google Scholar 

  19. Bouali F, Moessner K, Fitch M.: A Context-Aware User-Driven Strategy to Exploit Offloading and Sharing in Ultra-Dense Deployments. IEEE International Conference on Communications, pp 1-7, Paris, France (2017).

    Google Scholar 

  20. Ahmed N-ER: A QoS Based Algorithm for the Vertical Handover between WLAN IEEE 802.11e and WiMAX IEEE 802.16e. International Journal of Computing and Digital System 7(1) 11-22, (2017).

    Google Scholar 

  21. Khambari N, Ghita B, Sun L.: QoE-Driven Video Enhancements in Wireless Networks Through Predictive Packet Drops. In: International Conference of Wireless Mobile and Computer Network Communications, pp 355-361, Rome, Italy (2017).

    Google Scholar 

  22. YUV QCIF reference videos (lossless H.264 encoded). http://www2.tkn.tu-berlin.de/research/evalvid/qcif.html. Last accessed 2016/2/15

  23. Klaue J, Rathke B, Wolisz A.: EvalVid - A Framework for Video Transmission and Quality Evaluation. In: International Conference on Modelling Techniques and Tools for Computer Performance Evaluation. pp 255–272, Berlin, Germany (2003).

    Google Scholar 

  24. Reckwerdt B, Clarity V White Paper : Understanding MOS , JND , and PSNR

    Google Scholar 

  25. ITU-T: Methods for the Subjective Assessment of Video Quality, Audio Quality and Audiovisual Quality of Internet Video and Distribution Quality Television in Any Environment(2014).

    Google Scholar 

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Acknowledgement

This project is part of a PhD research currently being carried out at Centre for Security, Communications and Network Research (CSCAN), Plymouth University, U.K. The deepest gratitude and thanks to Universiti Teknikal Malaysia Melaka (UTeM) and the Malaysian Ministry of Higher Education for funding this PhD research.

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Correspondence to Najwan Khambari .

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Khambari, N., Ghita, B. (2019). QoE Enhancements for Video Traffic in Wireless Networks through Selective Packet Drops. In: Alfred, R., Lim, Y., Ibrahim, A., Anthony, P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore. https://doi.org/10.1007/978-981-13-2622-6_29

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  • DOI: https://doi.org/10.1007/978-981-13-2622-6_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2621-9

  • Online ISBN: 978-981-13-2622-6

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