• DocumentCode
    2556790
  • Title

    A Swarm Intelligence inspired Autonomic Routing Scenario in Ubiquitous Sensor Networks

  • Author

    Wang, Jin ; D´Auriol, Brian J. ; Lee, Young-Koo ; Lee, Sungyoung

  • Author_Institution
    Kyung Hee Univ., Seoul
  • fYear
    2007
  • fDate
    26-28 April 2007
  • Firstpage
    745
  • Lastpage
    750
  • Abstract
    Autonomic computing has attracted large amount of attention as a novel computing paradigm in the past few years. In this paper, we explore the inherent accordance between autonomic computing and swarm intelligence. Then, we propose a swarm intelligence inspired autonomic routing scenario with a targeting application area in ubiquitous sensor network. This scenario covers most of the characteristics of autonomic computing. The working flow and steps of our SI inspired autonomic routing scenario are explained in detail together with some preliminary simulation results, such as the power consumption, delivery ratio etc.
  • Keywords
    telecommunication network routing; ubiquitous computing; wireless sensor networks; autonomic computing; swarm intelligence inspired autonomic routing scenario; ubiquitous sensor networks; Computational modeling; Computer networks; Energy consumption; Insects; Intelligent sensors; Negative feedback; Particle swarm optimization; Pervasive computing; Routing; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering, 2007. MUE '07. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7695-2777-9
  • Type

    conf

  • DOI
    10.1109/MUE.2007.59
  • Filename
    4197362