• DocumentCode
    660228
  • Title

    Distributed Detection in a Wireless Sensor Network Using Hybrid MAC

  • Author

    Ju-Chieh Liu ; Po-Heng Chou ; Char-Dir Chung

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    2-5 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, distributed detection is investigated in a wireless sensor network (WSN) using the hybrid multiple-access channel (MAC) which is a composite of orthogonal and nonorthogonal MACs. Specifically, a simple ideal sensing (IS) fusion rule is proposed, and the corresponding detection error probability upper bound and approximate system outage probability are analytically derived. Performance results show that the IS fusion rule provides nearly minimum detection error probability under high sensor observation signal-to-noise power ratios, and offers a diversity gain in system outage probability which is equal to the number of orthogonal channels. Moreover, the hybrid MAC WSN with IS fusion rule is shown to provide more performance choices than orthogonal and nonorthogonal MAC WSNs with IS fusion rule in terms of detection error probability and system outage probability.
  • Keywords
    diversity reception; error analysis; multi-access systems; wireless sensor networks; WSN; approximate system outage probability; detection error probability; distributed detection; high sensor observation signal-to-noise power ratios; hybrid multiple-access channel; ideal sensing fusion rule; nearly minimum detection error probability; nonorthogonal MAC; orthogonal MAC; system outage probability; wireless sensor network; Error probability; Estimation; Reliability; Sensors; Upper bound; Vectors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th
  • Conference_Location
    Dresden
  • ISSN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2013.6692509
  • Filename
    6692509