• DocumentCode
    3479792
  • Title

    Leveraging Biologically-inspired Mobile Agents Supporting Composite Needs of Reliability and Timeliness in Sensor Applications

  • Author

    Boonma, Pruet ; Suzuki, Jun

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts, Boston, MA
  • fYear
    2007
  • fDate
    11-13 Oct. 2007
  • Firstpage
    851
  • Lastpage
    860
  • Abstract
    Wireless sensor networks are often used for event detection applications, which require a certain level of reliability and timeliness while minimizing energy consumption. Existing work considers reliability, timeliness and energy consumption largely in isolation. This paper proposes a solution to satisfy these conflicting requirements by using biologically-inspired mobile agents. The problem is formulated into an NP-hard problem, the vehicle routing problem, and decentralized and centralized heuristics are developed to govern agent behaviors. Simulation results show that proposed solution allows agents (i.e., sensor applications) to effectively balance the tradeoffs among reliability, timeliness and energy efficiency and outperform an existing similar mechanism.
  • Keywords
    biology computing; computational complexity; heuristic programming; mobile agents; optimisation; reliability; NP-hard problem; biologically-inspired mobile agents; energy efficiency; reliability; vehicle routing problem; wireless sensor networks; Biological system modeling; Biosensors; Energy consumption; Energy efficiency; Event detection; Mobile agents; NP-hard problem; Routing; Vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007
  • Conference_Location
    Jeju City
  • Print_ISBN
    978-0-7695-2999-8
  • Type

    conf

  • DOI
    10.1109/FBIT.2007.137
  • Filename
    4524218