• DocumentCode
    1672343
  • Title

    Analyzing the Reliability of Group Transmission in Wireless Sensor Network

  • Author

    Wen, Hao ; Yang, Hongkun ; Lin, Chuang ; Ren, Fengyuan ; Yue, Yao ; Zhou, Jia

  • Author_Institution
    Tsinghua Nat. Lab. for Inf. Sci. & Technol. Dept. of Comput. Sci., Tsinghua Univ., Beijing
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Most previous models about wireless channels are mainly adopted to obtain average packet error rates or to generate artificial network traces. However, when we combine packet group transmission with error correcting mechanisms, the steady packet error rate (PER) is not accurate enough to depict the short-term error event. In this paper, we propose a Markov chain model for group transmission to indicate influences of group length N and initial channel state on transmission reliability. Based on the model, we prove that the difference between steady PER and packet error rate within a group (PERG) is O(1/N), which can be used to estimate group length under a certain error rate constraint. Finally, we apply the model to compare the multipath transmission with the single-path transmission, and investigate an extreme case where the multipath way is less reliable than the single-path way.
  • Keywords
    Markov processes; telecommunication network reliability; wireless sensor networks; Markov chain model; artificial network traces; average packet error rates; error correcting mechanism; error rate constraint; group transmission reliability; multipath transmission; packet group transmission; short-term error event; single-path transmission; wireless channels; wireless sensor network; AWGN; Analytical models; Computer network reliability; Error analysis; Error correction; Information analysis; Laboratories; Mathematical model; Redundancy; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.254
  • Filename
    4698029