• DocumentCode
    2920920
  • Title

    Results on finite wireless networks on a line

  • Author

    Eslami, A. ; Nekoui, M. ; Pishro-Nik, H.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Massachusetts, Amherst, MA, USA
  • fYear
    2010
  • fDate
    6-8 Jan. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Today, due to the vast amount of literature on large-scale wireless networks, we have a fair understanding of the asymptotic behavior of such networks. However, in real world we have to face finite networks for which the asymptotic results cease to be valid. We refer to networks as being finite when the number of nodes is less than a few hundred. Here we study a model of wireless networks, represented by random geometric graphs. In order to address a wide class of the network´s properties, we study the threshold phenomena. Being extensively studied in the asymptotic case, the threshold phenomena occurs when a graph theoretic property (such as connectivity) of the network experiences rapid changes over a specific interval of the underlying parameter. Here, we find an upper bound for the threshold width of finite line networks represented by random geometric graphs. These bounds hold for all monotone properties of such networks. We then turn our attention to an important non-monotone characteristic of line networks which is the medium access (MAC) layer capacity, i.e. the maximum number of possible concurrent transmissions. Towards this goal, we provide an algorithm which finds a maximal set of concurrent non-interfering transmissions and further derive lower and upper bounds for the cardinality of the set. Using simulations, we show that these bounds serve as reasonable estimates for the actual value of the MAC-layer capacity.
  • Keywords
    access protocols; radio networks; MAC layer capacity; concurrent noninterfering transmissions; finite line networks; finite wireless networks; medium access layer; random geometric graphs; Computer science; Euclidean distance; Intelligent networks; Large-scale systems; Physics; Sensor phenomena and characterization; Solid modeling; Upper bound; Wireless networks; Wireless sensor networks; Finite Wireless Networks; MAC-layer capacity; Random geometric graphs; Threshold phenomena; Unreliable sensor grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ITW 2010, Cairo), 2010 IEEE Information Theory Workshop on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-6372-5
  • Type

    conf

  • DOI
    10.1109/ITWKSPS.2010.5503182
  • Filename
    5503182