• DocumentCode
    1113643
  • Title

    On the Impact of Node Failures and Unreliable Communications in Dense Sensor Networks

  • Author

    Tay, Wee Peng ; Tsitsiklis, John N. ; Win, Moe Z.

  • Author_Institution
    Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol. (MIT), Cambridge, MA
  • Volume
    56
  • Issue
    6
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    2535
  • Lastpage
    2546
  • Abstract
    We consider the problem of decentralized detection in failure-prone tree networks with bounded height. Specifically, we study and contrast the impact on the detection performance of either node failures (modeled by a Galton-Watson branching process) or unreliable communications (modeled by binary symmetric channels). In both cases, we focus on ldquodenserdquo networks, in which we let the degree of every node (other than the leaves) become large, and we characterize the asymptotically optimal detection performance. We develop simple strategies that nearly achieve the optimal performance, and compare the performance of the two types of networks.
  • Keywords
    sensor fusion; signal detection; telecommunication network reliability; trees (mathematics); Galton-Watson branching process; binary symmetric channels; decentralized detection problem; dense sensor networks; failure-prone tree networks; fusion center; node failures; unreliable communications; Decentralized detection; error exponent; sensor networks;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.914343
  • Filename
    4476452