• DocumentCode
    2758764
  • Title

    Adaptive Routing in Delay-Tolerant Mobile Sensor Network

  • Author

    Wu, BaiJun ; Lin, Feng ; Zhou, Jiliu

  • Author_Institution
    Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
  • fYear
    2010
  • fDate
    10-12 Oct. 2010
  • Firstpage
    79
  • Lastpage
    86
  • Abstract
    Pervasive information gathering has became more and more important in people´s daily life during the last decade. However, in some critical network scenarios such as Delay-Tolerant Mobile Sensor Network (DT-MSN), due to the sparse connectivity, node mobility and limited buffer, the traditional approaches for collecting information application may not work effectively without a stable end-to-end path from sensor nodes to the sink. In this paper, we propose a new carrier-based routing scheme based on nodal mobility pattern, named SAR-DM (Self-Adaptive Routing for DT-MSN). In our scheme, the popular areas that sensor nodes visit, called hotspots, are classified dynamically, and each class is attached with a mobile-assisted carrier to help data transmission between nodes and sink. We provide an analysis of the regularity of nodes movement by replaying real mobility model. The simulation results show that our scheme performs better than Message Ferry approach, and adapts well under different circumstances.
  • Keywords
    mobility management (mobile radio); telecommunication network routing; wireless sensor networks; carrier-based routing scheme; data transmission; delay-tolerant mobile sensor network; hotspots; limited buffer; nodal mobility pattern; node mobility; self-adaptive routing; sparse connectivity; Classification algorithms; Data communication; Delay; Mobile communication; Mobile computing; Routing; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2010 International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-8434-8
  • Electronic_ISBN
    978-0-7695-4235-5
  • Type

    conf

  • DOI
    10.1109/CyberC.2010.24
  • Filename
    5615667