• DocumentCode
    628942
  • Title

    Improving DTN routing performance using Many-to-Many communication: A performance modeling study

  • Author

    Venkatadri, Giridhari ; Mahendran, V. ; Murthy, C. Siva Ram

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Madras, Madras, India
  • fYear
    2013
  • fDate
    13-17 May 2013
  • Firstpage
    125
  • Lastpage
    132
  • Abstract
    Delay-Tolerant Networks (DTNs) have emerged as an exciting research area with a number of useful applications. Most of these applications would benefit greatly by a reduction in the message delivery delay experienced in the network. The delay performance of DTNs is adversely affected by contention, especially severe in the presence of higher traffic rates and node densities. Many-to-Many (M2M) communication can handle this contention much better than traditional one-to-one communication employing CSMA. In this paper, for the first time, we analytically model the expected delivery delay of a DTN employing epidemic routing and M2M communication. The accuracy of our model is demonstrated by matching the analytical results against those from simulations. We also show using simulations that M2M communication significantly improves the delay performance (with respect to one-to-one CSMA) for high-contention scenarios.We believe our work will enable the effective application of M2M communication to reduce delivery delays in DTNs.
  • Keywords
    delay tolerant networks; telecommunication network routing; telecommunication traffic; DTN routing performance; M2M communication; delay-tolerant network; epidemic routing; many-to-many communication; message delivery delay reduction; traffic rate; Analytical models; Delays; Media Access Protocol; Multiaccess communication; Routing; Stochastic processes; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks (WiOpt), 2013 11th International Symposium on
  • Conference_Location
    Tsukuba Science City
  • Print_ISBN
    978-1-61284-824-2
  • Type

    conf

  • Filename
    6576425