• DocumentCode
    2289068
  • Title

    Understanding the Tolerance of Dynamic Networks: A Routing-Oriented Approach

  • Author

    Shao, Yifeng ; Wu, Jie

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL
  • fYear
    2008
  • fDate
    17-20 June 2008
  • Firstpage
    180
  • Lastpage
    185
  • Abstract
    Research on delay tolerant networks (DTNs) has brought about a plethora of routing algorithms targeted at networks with different mobility patterns. However, few research works have been done towards developing methods to understand certain characteristics of DTNs, especially those with predictable characteristics (e.g., predictable mobility). As a step towards closing this gap, we devise an efficient scheme to study the tolerance of a DTN-like dynamic network in terms of delay. Our work is from the viewpoint of routing, and is based on theories in evolving graphs [1]. In this paper, we define the solvability of a DTN in terms of delay and show that it is non-trivial to examine it in the scope of a DTN through examples and analysis. We then propose both centralized and distributed solutions to this problem. Through extensive simulations based on real traces from UMass DieselNet [2] we study the solvability of both kinds of networks using approaches proposed in this paper. Finally, we briefly discuss the scenarios to which our work could be applied.
  • Keywords
    graph theory; telecommunication network routing; delay tolerant network; dynamic network; evolving graph; mobility pattern; routing algorithm; Computer science; Delay effects; Disruption tolerant networking; Distributed computing; Dynamic scheduling; Graph theory; Mobile ad hoc networks; Predictive models; Routing; Upper bound; contact; delay tolerant networks (DTNs); evolving graphs; predictable mobility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems Workshops, 2008. ICDCS '08. 28th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1545-0678
  • Print_ISBN
    978-0-7695-3173-1
  • Electronic_ISBN
    1545-0678
  • Type

    conf

  • DOI
    10.1109/ICDCS.Workshops.2008.68
  • Filename
    4577779