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
Link To Document :
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