• DocumentCode
    3060974
  • Title

    Rate-of-decay of probability of isolation in dense sensor networks with bounding constraints

  • Author

    Singh, Arun ; Elia, Petros ; Slock, Dirk

  • Author_Institution
    Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1898
  • Lastpage
    1902
  • Abstract
    The work establishes the asymptotic rate of decay for the probability of node isolation in bounded wireless sensor networks, in the high density regime. In this regime, the exposition reveals the role of the most isolated neighborhoods of the bounding region in exponentially increasing the average probability of isolation. The problem is treated for a large family of random spatial distributions of nodes, random shapes of node coverage areas, and random topography of the network´s bounding region. Different examples are presented to insightfully describe the detrimental effect of boundedness in network isolation. Finally we address different aspects relating to extremely isolating bounding regions, and densities that vary exponentially in time.
  • Keywords
    statistical distributions; telecommunication network topology; wireless sensor networks; dense wireless sensor networks; network isolation; network random topography; node isolation probability; random spatial distribution; rate-of-decay; Network topology; Probability distribution; Radio frequency; Radiofrequency identification; Sensor phenomena and characterization; Shape; Spread spectrum communication; Statistics; Surfaces; Wireless sensor networks; Wireless sensor network; boundary effects; large deviations; network connectivity; node isolation; topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513315
  • Filename
    5513315