• DocumentCode
    627833
  • Title

    A hybrid method to detecting failures in mobile sensor networks using localization algorithms

  • Author

    Martins, Leonardo G. L. ; Nunes, Raul C. ; Martins, Joao B. S. ; de Oliveira, Leonardo L.

  • Author_Institution
    Microelectron. Res. Group (GMicro) - Technol. Center, Fed. Univ. of Santa Maria (UFSM), Santa Maria, Brazil
  • fYear
    2013
  • fDate
    16-19 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new approach to detect node failures to support fault tolerant application on mobile sensor networks in an optimized way. Our approach takes advantage of localization algorithm message exchanges to implement a failure detector algorithm, optimizing sent messages, reducing energy consumption and contributing to avoid the nodes scalability problem. We analyze a network performance for the Friedman Failure Detector, Monte Carlo Localization and both working together. The experimental results from simulations show an approximately reduction of 43% in the number of messages sent and are reported in this paper.
  • Keywords
    Monte Carlo methods; fault tolerant computing; mobile computing; wireless sensor networks; Friedman failure detector; Monte Carlo localization; failure detector algorithm; fault tolerant application; localization algorithms; mobile sensor networks; nodes scalability problem; Detectors; Heart beat; Mobile communication; Mobile computing; Network topology; Robot sensing systems; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4799-0618-5
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2013.6573666
  • Filename
    6573666