• DocumentCode
    3353622
  • Title

    Congestion-resistant scalable media stream mapping for an IEEE 802.11E sensor network

  • Author

    Ali, Ismail A. ; Fleury, Martin ; Ghanbari, Mohammed

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2901
  • Lastpage
    2904
  • Abstract
    Mapping an H.264/SVC (Scalable Video Coding) bitstream to the IEEE 802.11e video service class may result in the decoder discarding an excessive number of packets. This is because of dependencies between the discarded packets and those dropped in the service queue. Instead, the paper proposes mapping SVC quality layers across multiple service classes, thereby reducing the impact of traffic congestion upon video quality. Video quality in the sensor network scenario tested was almost stabilized, despite up to 10% packet drops through traffic congestion. An added advantage of the mapping is that the end-to-end delay of the base layer packets was considerably reduced compared to the standard IEEE 802.11e mapping.
  • Keywords
    telecommunication traffic; video coding; video streaming; wireless LAN; wireless sensor networks; H.264-SVC; IEEE 802.11 sensor network; base layer packets; congestion-resistant scalable media stream mapping; scalable video coding bitstream; traffic congestion; video quality; video service; Ad hoc networks; Automatic voltage control; Decoding; Delay; IEEE 802.11e Standard; Static VAr compensators; Streaming media; H.264/SVC; IEEE 802.11e EDCA; ad hoc wireless network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652683
  • Filename
    5652683