• DocumentCode
    1339439
  • Title

    Probability of k-Hop Connection under Random Connection Model

  • Author

    Mao, Guoqiang ; Zhang, Zijie ; Anderson, Brian D O

  • Author_Institution
    Univ. of Sydney & Nat. ICT Australia, Sydney, NSW, Australia
  • Volume
    14
  • Issue
    11
  • fYear
    2010
  • fDate
    11/1/2010 12:00:00 AM
  • Firstpage
    1023
  • Lastpage
    1025
  • Abstract
    Consider a wireless sensor network with Ltd. sensors following a homogeneous Poisson distribution in a given area A in ℜ2. A sensor located at x2 ∈ A is directly connected to a sensor located at x1 ∈ A with probability g (x2 - x1), independent of any other distinct pair of sensors. In this letter, we provide a recursive formula for computing Pr (k|x), the probability that a node x ∈ A apart from another node is connected to that node at exactly k hops, for a generic random connection function g : ℜ2 → . The recursive formula is accurate for k = 1, 2 and provides an approximation for Pr (k|x) for k > 2. The exact and approximate analytical results are validated by simulations. The knowledge of Pr (k|x) can be used in a number of areas in sensor networks.
  • Keywords
    Poisson distribution; probability; wireless sensor networks; homogeneous Poisson distribution; k-hop connection; probability; random connection model; wireless sensor network; Ad hoc networks; Analytical models; Approximation methods; Computational modeling; Nonhomogeneous media; Probability; Wireless sensor networks; Random connection model; k-hop connection;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2010.092310.101298
  • Filename
    5590335