• DocumentCode
    1301627
  • 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
  • Volume
    58
  • Issue
    8
  • fYear
    2010
  • fDate
    8/1/2010 12:00:00 AM
  • Firstpage
    2204
  • Lastpage
    2211
  • Abstract
    Analysis of finite wireless networks is a fundamental problem in the area of wireless networking. 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 a linear time 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
    graph theory; radio networks; MAC-layer capacity; concurrent non-interfering transmissions; finite line networks; finite wireless networks; graph theoretic property; linear time algorithm; medium access layer capacity; random geometric graphs; threshold phenomena; wireless networking; Approximation methods; Biological system modeling; Bipartite graph; Euclidean distance; Random variables; Upper bound; Wireless networks; Finite wireless networks; MAC-layer capacity; random geometric graphs; threshold phenomena; unreliable sensor grids;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2010.08.090119
  • Filename
    5555876