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Mobile sensor networks for modelling environmental pollutant distribution

Lu, B and Oyekan, J and Gu, D and Hu, H and Nia, HFG (2011) 'Mobile sensor networks for modelling environmental pollutant distribution.' International Journal of Systems Science, 42 (9). 1491 - 1505. ISSN 0020-7721

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Abstract

This article proposes to deploy a group of mobile sensor agents to cover a polluted region so that they are able to retrieve the pollutant distribution. The deployed mobile sensor agents are capable of making point observation in the natural environment. There are two approaches to modelling the pollutant distribution proposed in this article. One is a model-based approach where the sensor agents sample environmental pollutant, build up an environmental pollutant model and move towards the region where high density pollutant exists. The modelling technique used is a distributed support vector regression and the motion control technique used is a distributed locational optimising algorithm (centroidal Voronoi tessellation). The other is a model-free approach where the sensor agents sample environmental pollutant and directly move towards the region where high density pollutant exists without building up a model. The motion control technique used is a bacteria chemotaxis behaviour. By combining this behaviour with a flocking behaviour, it is possible to form a spatial distribution matched to the underlying pollutant distribution. Both approaches are simulated and tested with a group of real robots. © 2011 Taylor & Francis.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Clare Chatfield
Date Deposited: 02 Oct 2012 13:12
Last Modified: 23 Jan 2019 00:16
URI: http://repository.essex.ac.uk/id/eprint/3893

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