• DocumentCode
    2743097
  • Title

    Multimode WSN: Improving Robustness, Fault Tolerance and Performance of Randomly Deployed Wireless Sensor Network

  • Author

    Pileggi, Salvatore F. ; Palau, Carlos E. ; Esteve, Manuel

  • Author_Institution
    Commun. Dept., Polytech. Univ. of Valencia, Valencia, Spain
  • fYear
    2010
  • fDate
    28-30 July 2010
  • Firstpage
    112
  • Lastpage
    117
  • Abstract
    This paper proposes an advanced, robust and flexible solution that applies the (revised) concept of Always Best Connected (ABC) Network, typical of multimode modern mobile devices, to Wireless Sensor Network. Hostile environments and unpredictable conditions (e.g. interferences) can negatively affect communication range, potentially increasing the number of unconnected nodes in random deployments. Multimode Wireless Sensor Network (MM-WSN) is provided with an adaptive mechanism for environmental condition evaluation and with the ability of self-configuring itself for optimal networking independence of detected conditions. Proposed solution is based on advanced smart nodes provided with multiple resource in terms of computation, storage, communication and sensing that, with the support of proposed framework, allows complex mechanisms for fault detecting/tolerance and for the increasing of network robustness and performance. Several research issues are addressed by the paper.
  • Keywords
    fault tolerance; mobile communication; performance evaluation; wireless sensor networks; ABC network; MM-WSN; advanced smart nodes; always best connected network; environmental condition evaluation; fault detecting; fault tolerance; multimode WSN; multimode modern mobile devices; network performance; network robustness; randomly deployed wireless sensor network; Ad hoc networks; Base stations; Protocols; Robustness; Sensors; Wireless communication; Wireless sensor networks; Always Connected/Always Best Connected Network; Computational Intelligence; Fault tolerance; Network Protocols; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on
  • Conference_Location
    Liverpool
  • Print_ISBN
    978-1-4244-7837-8
  • Electronic_ISBN
    978-0-7695-4158-7
  • Type

    conf

  • DOI
    10.1109/CICSyN.2010.12
  • Filename
    5614754