• DocumentCode
    3531901
  • Title

    A Multicast Routing Scheme Based on Social Differences in Delay-Tolerant Networks

  • Author

    Xia Deng ; Le Chang

  • Author_Institution
    Sch. of Comput. Sci. & Educ., Software Guangzhou Univ., Guangzhou, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    501
  • Lastpage
    507
  • Abstract
    In Delay-Tolerant Networks (DTNs), multicast can make full use of network resources and provide high data delivery ratio, which is widely used in a variety of group communication scenarios, such as data dissemination in rescue circumstances, group message transmission in mobile social networks, etc. As node behaviors demonstrate social characteristics in DTNs, in this paper, a multicast routing scheme based on social difference (SDMR) is proposed. SDMR considers the social differences between nodes, including both the similarity and the centrality differences. SDMR chooses the nodes with greater social differences to forward data, which can expand the data transmission coverage and thus increases the data delivery ratio to multicast destinations efficiently. Through extensive trace-driven simulation with the Infocom06 Trace data, it shows that SDMR can not only ensure high data delivery ratio and low delay, but also reduce the transmission cost greatly compared to other protocols.
  • Keywords
    delay tolerant networks; digital simulation; telecommunication network routing; DTN; Infocom06 Trace data; SDMR; centrality difference; data delivery ratio; data dissemination; data transmission coverage; delay-tolerant networks; group communication scenarios; group message transmission; mobile social networks; multicast routing scheme; rescue circumstances; similarity; social differences; trace-driven simulation; Data communication; Data models; Delays; Educational institutions; Routing; Unicast; Delay-Tolerant Networks; Infocom06 Trace; Multicast Routing; Social Differences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-2140-9
  • Type

    conf

  • DOI
    10.1109/EIDWT.2013.90
  • Filename
    6631668