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A Geographic Information System Framework for the Management of Sensor Deployments

A prototype Geographic Information System (GIS) framework has been developed to map, manage, and monitor sensors with respect to other geographic features, including land base and in-plant features. The GIS framework supports geographic placement and subsequent discovery, query, and tasking of senso...

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Detalles Bibliográficos
Autores principales: Russomanno, David J., Tritenko, Yury
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292120/
https://www.ncbi.nlm.nih.gov/pubmed/22399881
http://dx.doi.org/10.3390/s100504281
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author Russomanno, David J.
Tritenko, Yury
author_facet Russomanno, David J.
Tritenko, Yury
author_sort Russomanno, David J.
collection PubMed
description A prototype Geographic Information System (GIS) framework has been developed to map, manage, and monitor sensors with respect to other geographic features, including land base and in-plant features. The GIS framework supports geographic placement and subsequent discovery, query, and tasking of sensors in a network-centric environment using Web services. The framework couples the GIS feature placement logic of sensors with an extensible ontology which captures the capabilities, properties, protocols, integrity constraints, and other parameters of interest for a large variety of sensor types. The approach is significant in that custom, GIS-based interfaces can be rapidly developed via the integration of sensors and sensor networks into applications without having detailed knowledge of the sensors’ underlying device drivers by leveraging service-oriented computing infrastructure within the GIS framework.
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spelling pubmed-32921202012-03-07 A Geographic Information System Framework for the Management of Sensor Deployments Russomanno, David J. Tritenko, Yury Sensors (Basel) Article A prototype Geographic Information System (GIS) framework has been developed to map, manage, and monitor sensors with respect to other geographic features, including land base and in-plant features. The GIS framework supports geographic placement and subsequent discovery, query, and tasking of sensors in a network-centric environment using Web services. The framework couples the GIS feature placement logic of sensors with an extensible ontology which captures the capabilities, properties, protocols, integrity constraints, and other parameters of interest for a large variety of sensor types. The approach is significant in that custom, GIS-based interfaces can be rapidly developed via the integration of sensors and sensor networks into applications without having detailed knowledge of the sensors’ underlying device drivers by leveraging service-oriented computing infrastructure within the GIS framework. Molecular Diversity Preservation International (MDPI) 2010-04-29 /pmc/articles/PMC3292120/ /pubmed/22399881 http://dx.doi.org/10.3390/s100504281 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Russomanno, David J.
Tritenko, Yury
A Geographic Information System Framework for the Management of Sensor Deployments
title A Geographic Information System Framework for the Management of Sensor Deployments
title_full A Geographic Information System Framework for the Management of Sensor Deployments
title_fullStr A Geographic Information System Framework for the Management of Sensor Deployments
title_full_unstemmed A Geographic Information System Framework for the Management of Sensor Deployments
title_short A Geographic Information System Framework for the Management of Sensor Deployments
title_sort geographic information system framework for the management of sensor deployments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292120/
https://www.ncbi.nlm.nih.gov/pubmed/22399881
http://dx.doi.org/10.3390/s100504281
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