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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Main Authors: Enoc Martínez, Daniel M. Toma, Simon Jirka, Joaquín del Río
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/12/2923
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author Enoc Martínez
Daniel M. Toma
Simon Jirka
Joaquín del Río
author_facet Enoc Martínez
Daniel M. Toma
Simon Jirka
Joaquín del Río
author_sort Enoc Martínez
collection DOAJ
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 doaj.art-72bde5c66cc047c097a634677b192d262022-12-22T04:27:19ZengMDPI AGSensors1424-82202017-12-011712292310.3390/s17122923s17122923Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor WebEnoc Martínez0Daniel M. Toma1Simon Jirka2Joaquín del Río3SARTI research group, Electronics Department, Universitat Politècnica de Catalunya, 08800 Vilanova i la Geltrú, SpainSARTI research group, Electronics Department, Universitat Politècnica de Catalunya, 08800 Vilanova i la Geltrú, Spain52∘ North Initiative for Geospatial Open Source Software, 48151 Münster, GermanySARTI research group, Electronics Department, Universitat Politècnica de Catalunya, 08800 Vilanova i la Geltrú, SpainThe 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.https://www.mdpi.com/1424-8220/17/12/2923Sensor Web Enablementplug and playinteroperabilitySensorMLOpen Geospatial Consortiumsensor integrationOGC PUCK protocol
spellingShingle Enoc Martínez
Daniel M. Toma
Simon Jirka
Joaquín del Río
Middleware for Plug and Play Integration of Heterogeneous Sensor Resources into the Sensor Web
Sensors
Sensor Web Enablement
plug and play
interoperability
SensorML
Open Geospatial Consortium
sensor integration
OGC PUCK protocol
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 Sensor Web Enablement
plug and play
interoperability
SensorML
Open Geospatial Consortium
sensor integration
OGC PUCK protocol
url https://www.mdpi.com/1424-8220/17/12/2923
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