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  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

ENERGY-EFFICIENT COOPERATIVE MEDIA STREAMING OVER WLANS

J.T Anita Rose

Research Scholar, Manonmaniam Sundaranar University, TN, India.

D. Frederick Swartz Daniel

Research Scholar, Anna University, TN, India

Dr. A. Chandrasekar

Professor, St. Joseph’s College of Engineering, TN, India

40 - 55 Vol. 1, Jan-Dec, 2015
Receiving Date: 2015-03-03;    Acceptance Date: 2015-03-27;    Publication Date: 2015-04-02
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Abstract

In wireless local area networks (WLANs), Energy-Efficient Media streaming, in particular, is a promising technology for providing services such as news clips, live sports. To avoid service interruption when the node switching to low-power sleep mode to save energy, proper scheduling and data management strategies must be employed. However, if sleep time is not properly scheduled, significant delays can occur, which is undesirable in delay-constrained applications. In this paper, we propose an energy-efficient cooperative media streaming where access point transcode the transport stream to minimize the energy usage of mobile node. We first consider the multimedia transport stream transcoding and buffering to be made by the streaming access point. Second we consider the basic steps that the mobile node takes to decide when and how long it can sleep. For the multiuser scenario, to mitigate channel contention in packet downloading after sleeping, the sleep schedules requested by the nodes are coordinated by the access point (AP) to avoid overlapping active epochs. Cooperated media streaming solves the issues of transcoding delay in mobile node by giving transcoding and buffering responsibility to access points.

Keywords: Multimedia Streaming; Online Transcoding; Energy efficiency; Resource reservation

    References

  1. M. Schaar, Y. Andreopoulos, and Z. Hu, “Optimized scalable video streaming over IEEE 802.11 a/e HCCA wireless networks under delay constraints,” IEEE Trans. Mobile Comput., vol. 5, no. 6, pp. 755–768, Jun. 2006
  2. B. Han, P. Hui, V. S. A. Kumar, M. Marathe, J. Shao, and A. Srinivasan, “Mobile data offloading through opportunistic communications and social participation,” IEEE Trans. Mobile Comput., vol. 11, no. 5, pp. 821–834, May 2012
  3. J. Tang and Y. Cheng, “Quick detection of stealthy SIP flooding attacks in VoIP networks,” in Proc. IEEE ICC, Kyoto, Japan, Jun. 5–9, 2011, pp. 1–5
  4. B. Goode, “Voice over Internet protocol (VoIP),” Proc. IEEE, vol. 90, no. 9, pp. 1495–1517, Sep. 2002.
  5. A. Mavlankar and B. Girod.“Spatial-random-access-enabled video coding for interactive virtual pan/tilt/zoom functionality”. IEEE Trans. Circuits Sys for Video Tech., 21(5):577 –588, May 2011.
  6. N. Quang Minh Khiem, G. Ravindra, A. Carlier, and W. T. Ooi. Supporting zoomable video streams with dynamic region-of-interest cropping. In Proc. ACM Int. Conf. on MultimediaSystems (MMSys), pages 259–270, New York, NY, USA, 2010.
  7. H. Schwarz, D. Marpe, and T. Wiegand. Overview of the scalable video coding extension of the h.264/avc standard. IEEE Trans. Circuits Sys. for Video Tech.,17(9):1103 –1120, Sept. 2007.
  8. S. Tsao and C. H. Huang, “A survey of energy efficient MAC protocols for IEEE 802.11 WLAN,” Comput.Commun., vol. 34, no. 1, pp. 54–67,Jan. 2011.
  9. I. Humar, X. Ge, L. Xiang, M. Jo, and M. Chen, “Rethinking energy efficiency models of cellular networks with embodied energy,” IEEE Netw.Mag., vol. 25, no. 3, pp. 40–49, Mar./Apr. 2011.
  10. L. Xiang, X. Ge, C.-X. Wang, F. Li, and F. Reichert, “Energy efficiency evaluation of cellular networks based on spatial distributions of traffic load and power consumption,” IEEE Trans. Wireless Commun., vol. 12, no. 3, pp. 961–973, Mar. 2013.
  11. X. Ge, K. Huang, C.-X. Wang, X. Hong, and X. Yang, “Capacity analysis of amulti-cell multiantenna cooperative cellular network with co-channel interference,” IEEE Trans. Wireless Commun., vol. 10, no. 10, pp. 3298–3309, Oct. 2011
  12. L. Liu, X. Cao, Y. Cheng, L. Du, W. Song, and Y. Wang, “Energy efficient capacity optimization in wireless networks,” in Proc. IEEE INFOCOM, 2014.[Online]. Available: http://www.ieeeinfocom.org/Program_technical.html, to be published.
  13. IEEE Standard for Information Technology - Telecommunications and Information Exchange Between Systems - Local and Metropolitan Area Networks - Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE Std 802.11-2007, Jun. 2007.
  14. IEEE Standard for Information Technology - Telecommunications and Information Exchange Between Systems - Local and Metropolitan Area Networks - Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 8:Medium Access Control (MAC) Quality of Service Enhancements, IEEE Std 802.11e-2005, 2005.
  15. H. Li, Y. Cheng, C. Zhou, and W. Zhuang, “Routing metrics for minimizing end-to-end delay in multi-radio multi-channel wireless networks,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 11, pp. 2293–2303, Nov. 2013.
  16. V. Namboodiri and L. Gao, “Energy-efficient VoIP over wireless LANs,” IEEE Trans. Mobile Comput., vol. 9, no. 4, pp. 566–581,Apr. 2010.
  17. Lu Liu, Xianghui Cao, Yu Cheng and ZhishengNiu, “Energy-Efficient Sleep Scheduling forDelay-Constrained Applications Over WLANs,” IEEE Trans. Vehicular Technology., vol. 63, no. 5, pp. 2048–2058,Jun. 2014
  18. C.-W. Lin, J. Youn, J. Zhou, M.-T.Sun, and I. Sodagar, MPEG video streaming with VCR functionality,' IEEE Trans. on Circuits and Systems for Video Technology, vol. 11, no. 1, Feb. 2001.
  19. Y. He, R. Yuan, andW. Gong, “Modeling power saving protocols for multicast services in 802.11 wireless LANs,” IEEE Trans. Mobile Comput.,vol. 9, no. 5, pp. 657–671, May 2010.
  20. Joint ITU-T Rec. H.264 | ISO/IEC 14496-10 / Amd.3 Scalable Video Coding, November 2007.
  21. Joint Scalable Video Model JSVM-9.9, Available in CVS repository at RheinischWestfälischeTechnischeHochschule (RWTH) Aachen.
  22. S. McCanne, V. Jacobson, and M. Vetterli, “Receiver-driven layered multicast,' in Proc. ACM SIGCOMM'96, Aug. 1996, pp. 117{130.
  23. A. Eleftheriadis and D. Anastassiou, “Meeting arbitrary QoS constraints using dynamic rate shaping of coded digital video,' in Proc. 5th International Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV'95), April 1995, pp. 95 - 106.
  24. W. Tan and A. Zakhor, “Real-time Internet video using error resilient scalable compression and TCP-friendly transport protocol,' IEEE Trans. on Multimedia, vol. 1, no. 2, pp. 172 -186,June 1999.
  25. X. Wang and H. Schulzrinne, “Comparison of adaptive Internet multimedia applications,' IEICE Trans. on Communications, vol. E82-B, no. 6, pp. 806 - 818, June 1999.
  26. Q. Zhang, G. Wang, W. Zhu, and Y.-Q. Zhang, “Robust scalable video streaming over Internet with network-adaptive congestion control and unequal loss protection,' submitted to Packet Video Workshop, Kyongju, Korea, April 2001.
  27. H. Schwarz, D.Marple and T.Wiegand.“Overview of the Scalable Video Coding Extension of the H.264/AVC Standard”. IEEE Trans. on Circuits and Systems for Video Tech. Vol 17, Nº9, pp 1003-1120. Sept 2007
  28. M. Pelcat, M. Blestel, M. Raulet. “From AVC decoder to SVC: Minor impact on a data flow graph description” PCS2007. June 2007
  29. H. Schwarz, D. Marpe, and T. Wiegand.Overview of the scalable video coding extension of the h.264/avc standard. IEEE Trans. Circuits Sys.for Video Tech., 17(9):1103 –1120, Sept. 2007.
  30. X. Fan, X. Xie, H.-Q.Zhou, and W.-Y. Ma. Looking into video frames on small displays. In Proc. ACM Int.Conf.on Multimedia (MM), pages 247–250, New York, NY, USA, 2003.
  31. L. Wolf, M. Guttmann, and D. Cohen-Or. Non-homogeneous content-driven video-retargeting. In Proc. IEEE Int. Conf. on Computer Vision (ICCV), pages 1 –6, Oct. 2007.
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