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description Publicationkeyboard_double_arrow_right Article 2020 France, ItalyPublisher:MDPI AG Funded by:EC | ARGOMARINEEC| ARGOMARINED'Acunto; Mario; Moroni; Davide; Puntoni; Alessandro; Salvetti; Ovidio;doi: 10.3390/jmse8020132
International audience; The real-time environmental surveillance of large areas requires the ability to dislocate sensor networks. Generally, the probability of the occurrence of a pollution event depends on the burden of possible sources operating in the areas to be monitored. This implies a challenge for devising optimal real-time dislocation of wireless sensor networks. This challenge involves both hardware solutions and algorithms optimizing the displacements of mobile sensor networks in large areas with a vast number of sources of pollutant factors based mainly on diffusion mechanisms. In this paper, we present theoretical and simulated results inherent to a Voronoi partition approach for the optimized dislocation of a set of mobile wireless sensors with circular (radial) sensing power on large areas. The optimal deployment was found to be a variation of the generalized centroidal Voronoi configuration, where the Voronoi configuration is event-driven, and the centroid set of the corresponding generalized Voronoi cells changes as a function of the pollution event. The initial localization of the pollution events is simulated with a Poisson distribution. Our results could improve the possibility of reducing the costs for real-time surveillance of large areas, and other environmental monitoring when wireless sensor networks are involved.
ZENODO; Journal of M... arrow_drop_down ZENODO; Journal of Marine Science and EngineeringOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2077-1312/8/2/132/pdfMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-02483350/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/jmse8020132&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 28visibility views 28 download downloads 48 Powered bymore_vert ZENODO; Journal of M... arrow_drop_down ZENODO; Journal of Marine Science and EngineeringOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2077-1312/8/2/132/pdfMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-02483350/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/jmse8020132&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2020 France, ItalyPublisher:MDPI AG Funded by:EC | ARGOMARINEEC| ARGOMARINED'Acunto; Mario; Moroni; Davide; Puntoni; Alessandro; Salvetti; Ovidio;doi: 10.3390/jmse8020132
International audience; The real-time environmental surveillance of large areas requires the ability to dislocate sensor networks. Generally, the probability of the occurrence of a pollution event depends on the burden of possible sources operating in the areas to be monitored. This implies a challenge for devising optimal real-time dislocation of wireless sensor networks. This challenge involves both hardware solutions and algorithms optimizing the displacements of mobile sensor networks in large areas with a vast number of sources of pollutant factors based mainly on diffusion mechanisms. In this paper, we present theoretical and simulated results inherent to a Voronoi partition approach for the optimized dislocation of a set of mobile wireless sensors with circular (radial) sensing power on large areas. The optimal deployment was found to be a variation of the generalized centroidal Voronoi configuration, where the Voronoi configuration is event-driven, and the centroid set of the corresponding generalized Voronoi cells changes as a function of the pollution event. The initial localization of the pollution events is simulated with a Poisson distribution. Our results could improve the possibility of reducing the costs for real-time surveillance of large areas, and other environmental monitoring when wireless sensor networks are involved.
ZENODO; Journal of M... arrow_drop_down ZENODO; Journal of Marine Science and EngineeringOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2077-1312/8/2/132/pdfMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-02483350/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/jmse8020132&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 28visibility views 28 download downloads 48 Powered bymore_vert ZENODO; Journal of M... arrow_drop_down ZENODO; Journal of Marine Science and EngineeringOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2077-1312/8/2/132/pdfMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-02483350/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/jmse8020132&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu