A Multiagent Geosimulation Approach for Intelligent Sensor Web Management
A Sensor Web (SW) consists of a large collection of small nodes providing collaborative and distributed sensing abilities in unpredictable environments. Nodes composing such an SW are characterized by resource restrictions, especially energy, processing power, and communication capacities. A sensor...
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Series: | International Journal of Distributed Sensor Networks |
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doaj-76fd004d192e4338851cf6467e8dad982020-11-25T03:20:34ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772010-11-01610.1155/2010/846820A Multiagent Geosimulation Approach for Intelligent Sensor Web ManagementMehdi Mekni0Phil Graniero1 Department of Computer Science, Sherbrooke University, Sherbrooke, QC, Canada J1K2R1 Department of Earth and Environmental Sciences, University of Windsor, Windsor, ON, Canada N9B3P4A Sensor Web (SW) consists of a large collection of small nodes providing collaborative and distributed sensing abilities in unpredictable environments. Nodes composing such an SW are characterized by resource restrictions, especially energy, processing power, and communication capacities. A sensor web can be thought of as a spatially and functionally distributed complex system evolving in and interacting with a geographic environment. So far, the majority of the currently deployed SWs has been mainly used for prototyping purposes. These SWs operate without considering a management scheme and do not take into account the geographic environment characteristics in which they are deployed. Multiagent Geosimulation (MAGS) is a recent modeling and simulation paradigm which provides a flexible approach that can be used to analyze complex systems such as SW in large-scale and complex georeferenced environments. In this paper, we propose to use an MAGS approach to support SW management. Moreover, we present Sensor-MAGS, a multiagent geosimulation system which manages sensor nodes using Informed Virtual Geographic Environments (IVGE). This system is applied in the context of a water resource monitoring project.https://doi.org/10.1155/2010/846820 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mehdi Mekni Phil Graniero |
spellingShingle |
Mehdi Mekni Phil Graniero A Multiagent Geosimulation Approach for Intelligent Sensor Web Management International Journal of Distributed Sensor Networks |
author_facet |
Mehdi Mekni Phil Graniero |
author_sort |
Mehdi Mekni |
title |
A Multiagent Geosimulation Approach for Intelligent Sensor Web Management |
title_short |
A Multiagent Geosimulation Approach for Intelligent Sensor Web Management |
title_full |
A Multiagent Geosimulation Approach for Intelligent Sensor Web Management |
title_fullStr |
A Multiagent Geosimulation Approach for Intelligent Sensor Web Management |
title_full_unstemmed |
A Multiagent Geosimulation Approach for Intelligent Sensor Web Management |
title_sort |
multiagent geosimulation approach for intelligent sensor web management |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2010-11-01 |
description |
A Sensor Web (SW) consists of a large collection of small nodes providing collaborative and distributed sensing abilities in unpredictable environments. Nodes composing such an SW are characterized by resource restrictions, especially energy, processing power, and communication capacities. A sensor web can be thought of as a spatially and functionally distributed complex system evolving in and interacting with a geographic environment. So far, the majority of the currently deployed SWs has been mainly used for prototyping purposes. These SWs operate without considering a management scheme and do not take into account the geographic environment characteristics in which they are deployed. Multiagent Geosimulation (MAGS) is a recent modeling and simulation paradigm which provides a flexible approach that can be used to analyze complex systems such as SW in large-scale and complex georeferenced environments. In this paper, we propose to use an MAGS approach to support SW management. Moreover, we present Sensor-MAGS, a multiagent geosimulation system which manages sensor nodes using Informed Virtual Geographic Environments (IVGE). This system is applied in the context of a water resource monitoring project. |
url |
https://doi.org/10.1155/2010/846820 |
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