• DocumentCode
    623582
  • Title

    Criticality of large delay tolerant networks via directed continuum percolation in space-time

  • Author

    Hyytia, Esa ; Ott, Johannes

  • Author_Institution
    Dept. of Commun. & Networking, Aalto Univ., Aalto, Finland
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    320
  • Lastpage
    324
  • Abstract
    We study delay tolerant networking (DTN) and in particular, its capacity to store, carry and forward messages to their final destination(s). We approach this broad question in the framework of percolation theory. To this end, we assume an elementary mobility model, where nodes arrive to an infinite plane according to a Poisson point process, move a certain distance ℓ, and then depart. In this setting, we characterize the mean density of nodes required to support DTN style networking. Under the given assumptions, we show that DTN communication is feasible when the mean node degree ν is greater than 4 · ηc(γ), where parameter γ= ℓ/d is the ratio of the distance ℓ to the transmission range d, and ηc(γ) is the critical reduced number density of tilted cylinders in a directed continuum percolation model. By means of Monte Carlo simulations, we give numerical values for ηc(γ). The asymptotic behavior of ηc(γ) when γ tends to ∞ is also derived from a fluid flow analysis.
  • Keywords
    Monte Carlo methods; delay tolerant networks; mobility management (mobile radio); numerical analysis; DTN communication; DTN style networking; Monte Carlo simulation; Poisson point process; directed continuum percolation model; elementary mobility model; fluid flow analysis; infinite plane; large delay tolerant networks; numerical value; percolation theory; space-time; tilted cylinders; Ad hoc networks; Delays; Educational institutions; Mobile nodes; Monte Carlo methods; Numerical models; DTN; capacity; criticality; mobility; percolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2013 Proceedings IEEE
  • Conference_Location
    Turin
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-5944-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2013.6566787
  • Filename
    6566787