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Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web

The study of global phenomena requires the combination of a considerable amount of data coming from different sources, acquired by different observation platforms and managed by institutions working in different scientific fields. Merging this data to provide extensive and complete data sets to moni...

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Detalles Bibliográficos
Autores principales: Martínez, Enoc, Toma, Daniel M., Jirka, Simon, Del Río, Joaquín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751386/
https://www.ncbi.nlm.nih.gov/pubmed/29244732
http://dx.doi.org/10.3390/s17122923
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author Martínez, Enoc
Toma, Daniel M.
Jirka, Simon
Del Río, Joaquín
author_facet Martínez, Enoc
Toma, Daniel M.
Jirka, Simon
Del Río, Joaquín
author_sort Martínez, Enoc
collection PubMed
description The study of global phenomena requires the combination of a considerable amount of data coming from different sources, acquired by different observation platforms and managed by institutions working in different scientific fields. Merging this data to provide extensive and complete data sets to monitor the long-term, global changes of our oceans is a major challenge. The data acquisition and data archival procedures usually vary significantly depending on the acquisition platform. This lack of standardization ultimately leads to information silos, preventing the data to be effectively shared across different scientific communities. In the past years, important steps have been taken in order to improve both standardization and interoperability, such as the Open Geospatial Consortium’s Sensor Web Enablement (SWE) framework. Within this framework, standardized models and interfaces to archive, access and visualize the data from heterogeneous sensor resources have been proposed. However, due to the wide variety of software and hardware architectures presented by marine sensors and marine observation platforms, there is still a lack of uniform procedures to integrate sensors into existing SWE-based data infrastructures. In this work, a framework aimed to enable sensor plug and play integration into existing SWE-based data infrastructures is presented. First, an analysis of the operations required to automatically identify, configure and operate a sensor are analysed. Then, the metadata required for these operations is structured in a standard way. Afterwards, a modular, plug and play, SWE-based acquisition chain is proposed. Finally different use cases for this framework are presented.
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spelling pubmed-57513862018-01-10 Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web Martínez, Enoc Toma, Daniel M. Jirka, Simon Del Río, Joaquín Sensors (Basel) Article The study of global phenomena requires the combination of a considerable amount of data coming from different sources, acquired by different observation platforms and managed by institutions working in different scientific fields. Merging this data to provide extensive and complete data sets to monitor the long-term, global changes of our oceans is a major challenge. The data acquisition and data archival procedures usually vary significantly depending on the acquisition platform. This lack of standardization ultimately leads to information silos, preventing the data to be effectively shared across different scientific communities. In the past years, important steps have been taken in order to improve both standardization and interoperability, such as the Open Geospatial Consortium’s Sensor Web Enablement (SWE) framework. Within this framework, standardized models and interfaces to archive, access and visualize the data from heterogeneous sensor resources have been proposed. However, due to the wide variety of software and hardware architectures presented by marine sensors and marine observation platforms, there is still a lack of uniform procedures to integrate sensors into existing SWE-based data infrastructures. In this work, a framework aimed to enable sensor plug and play integration into existing SWE-based data infrastructures is presented. First, an analysis of the operations required to automatically identify, configure and operate a sensor are analysed. Then, the metadata required for these operations is structured in a standard way. Afterwards, a modular, plug and play, SWE-based acquisition chain is proposed. Finally different use cases for this framework are presented. MDPI 2017-12-15 /pmc/articles/PMC5751386/ /pubmed/29244732 http://dx.doi.org/10.3390/s17122923 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martínez, Enoc
Toma, Daniel M.
Jirka, Simon
Del Río, Joaquín
Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web
title Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web
title_full Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web
title_fullStr Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web
title_full_unstemmed Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web
title_short Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web
title_sort middleware for plug and play integration of heterogeneous sensor resources into the sensor web
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751386/
https://www.ncbi.nlm.nih.gov/pubmed/29244732
http://dx.doi.org/10.3390/s17122923
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