• DocumentCode
    142170
  • Title

    Analysis of connectivity in Ad Hoc network with Nakagami-m fading

  • Author

    Bintai Xu ; Qi Zhu

  • Author_Institution
    Jiangsu Key Lab. of Wireless Commun., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • Volume
    3
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    1609
  • Lastpage
    1612
  • Abstract
    Connectivity is a fundamental issue which significantly impacts the design of system protocol. Based on the point process theory, this paper presents an analytical method, establishes the connectivity model and derives the node isolation probability of Ad hoc wireless network in presence of Nakagami-m fading. In the modeling, the users are distributed according to Homogenous Poisson Point process with intensity λ. Signal-to-noise ratio(SNR) is used to measure whether a link is connected or not. It is assumed that there is an effective Mac Layer scheme, and interference is ignored. We demonstrate that the connectivity of Ad hoc network is tightly related to node density, SNR, path-loss exponent and the value of m. The closed-formula that there is no isolated node in the whole network can be finally obtained. At last, analysis and numerical results are compared and agree well.
  • Keywords
    Nakagami channels; access protocols; ad hoc networks; radio links; stochastic processes; Mac Layer scheme; Nakagami-m fading; SNR; ad hoc wireless network; connectivity model; homogenous Poisson point process theory; network link; node density; node isolation probability; path-loss exponent; signal-to-noise ratio; system protocol; Ad hoc networks; Analytical models; Rayleigh channels; Signal to noise ratio; Spread spectrum communication; Wireless communication; Nakagami-m fading; connectivity; probability of isolated node;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6946193
  • Filename
    6946193