• DocumentCode
    2707596
  • Title

    A Mobile Agent-Based Architecture for Fault Tolerance in Wireless Sensor Networks

  • Author

    Salim, Sarah ; Javed, Mohsin ; Akbar, Ali Hammad

  • Author_Institution
    Al-Khwarizmi Inst. of Comput. Sci., UET, Lahore, Pakistan
  • fYear
    2010
  • fDate
    11-14 May 2010
  • Firstpage
    276
  • Lastpage
    283
  • Abstract
    Wireless Sensor Networks (WSNs) are prone to failures as they are usually deployed in remote and unattended environments. To mitigate the effect of these failures, fault tolerance becomes imperative. Nonetheless, it remains to be a second tier activity—it should not undermine the execution of the mission oriented tasks of WSNs through overly taxing their resources. We define architecture for fault tolerance in WSNs that is based on a federation of mobile agents that is used both for diagnostic intelligence and repair regimen, focusing on being lightweight in energy, communication and resources. Mobile agents are classified here as local, metropolitan, and global, providing fault tolerance at node, network and functional levels. Interactions between mobile agents are inspired by honey bee dance language that builds on semantics of errors classification and their demographic distribution. Our quantitative modeling substantiates that the proposed fault tolerance framework mandates minimalist communication through contextualized bee-inspired interactions, achieving adaptive sensitivity, and hysteresis-based stability
  • Keywords
    Computer science; Condition monitoring; Fault tolerance; Fault tolerant systems; Intelligent sensors; Mobile agents; Mobile communication; Particle swarm optimization; Sensor phenomena and characterization; Wireless sensor networks; fault tolerance; mobile agents; swarm intelligence; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Networks and Services Research Conference (CNSR), 2010 Eighth Annual
  • Conference_Location
    Montreal, QC, Canada
  • Print_ISBN
    978-1-4244-6248-3
  • Type

    conf

  • DOI
    10.1109/CNSR.2010.26
  • Filename
    5489384