• DocumentCode
    2287761
  • Title

    TPR: Dead end aware table less position based routing scheme for low power data-centric wireless sensor networks

  • Author

    Madani, S.A. ; Weber, D. ; Mahlknecht, S.

  • Author_Institution
    Inst. of Comput. Technol., Vienna Univ. of Technol., Vienna
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    149
  • Lastpage
    154
  • Abstract
    In this paper we present a Table less Position based Routing (TPR) scheme for low power data centric wireless sensor networks. TPR is localized, uses greedy forwarding approach, and does not rely on neighborhood information. These characteristics reduce the communication overhead (no neighborhood information exchange), make the protocol highly scalable (no routing tables are maintained and beacons are not exchanged when a node leaves or enters the networks), and it performs better in mobile environments (as the next hop is non-deterministic and is computed at real time). It also deals with dead end problems by a recovery strategy in a distributed and localized way. TPR is implemented in the OMNET++ based discrete event simulation environment PAWiS (simulation framework for low power wireless sensor networks). The results show that TPR provides guaranteed delivery, extended network life time, and a mechanism to route on the basis of end to end delay and/or energy consumption.
  • Keywords
    routing protocols; wireless sensor networks; dead end aware table less position based routing scheme; energy consumption; greedy forwarding approach; low power data-centric wireless sensor networks; network life time; recovery strategy; Computational modeling; Computer networks; Delay effects; Discrete event simulation; Energy consumption; High performance computing; Mobile communication; Mobile computing; Routing protocols; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Embedded Systems, 2008. SIES 2008. International Symposium on
  • Conference_Location
    Le Grande Motte
  • Print_ISBN
    978-1-4244-1994-4
  • Electronic_ISBN
    978-1-4244-1995-1
  • Type

    conf

  • DOI
    10.1109/SIES.2008.4577693
  • Filename
    4577693