• DocumentCode
    119983
  • Title

    State of the art and research challenges for USN traffic flow models

  • Author

    Koucheryavy, Andrey

  • Author_Institution
    State Univ. of Telecommun., St. Petersburg, Russia
  • fYear
    2014
  • fDate
    16-19 Feb. 2014
  • Firstpage
    336
  • Lastpage
    340
  • Abstract
    The traffic flow model was one of the most important investigation topic for any networks during them evolution. The traffic flow model understanding was changes from network to network, from service to service. The USN traffic flow models are in the focus of this paper. The telemetry, image and medical USN applications traffic flow models are investigated. The self-similarity features are determined. The practical benefits of obtained results are considered. The traffic flow type impact to the USN life-time in the different intrusion conditions is proved.
  • Keywords
    next generation networks; radiotelemetry; telecommunication traffic; wireless sensor networks; USN lifetime; USN traffic flow model; intrusion conditions; self-similarity feature determination; telemetry; ubiquitous sensor network; Estimation; Mobile communication; Peer-to-peer computing; Telemetry; Wireless communication; Wireless sensor networks; Hurst parameter; USN; traffic flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2014 16th International Conference on
  • Conference_Location
    Pyeongchang
  • Print_ISBN
    978-89-968650-2-5
  • Type

    conf

  • DOI
    10.1109/ICACT.2014.6778977
  • Filename
    6778977