• DocumentCode
    3485440
  • Title

    Toward bacterial swarm for environmental monitoring

  • Author

    Oyekan, John ; Huosheng, Hu

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    399
  • Lastpage
    404
  • Abstract
    Nature inspires many interesting ideas of solving our day to day problems. In this paper, we take inspiration from the chemotaxis behaviour of the bacterium and create a novel algorithm. Simulated results show the feasibility of using a bacterial inspired algorithm in finding a pollution source and then generating a visual 3D representation of the pollutant. We believe that by providing a visual 3D representation of an air pollutant for example, it could lead to an effective, timely and systematic evacuation of humans in a densely populated urban area.
  • Keywords
    air pollution; data visualisation; environmental science computing; microorganisms; air pollutant; bacterial inspired algorithm; bacterial swarm; chemotaxis behaviour; environmental monitoring; visual 3D representation; Air pollution; Automation; Biological system modeling; Cities and towns; Humans; Logistics; Microorganisms; Monitoring; Robots; Unmanned aerial vehicles; Bacterium Inspired Algorithm; Environmental Monitoring; Flocking; UAV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262889
  • Filename
    5262889