Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things
The widespread diffusion of sensors, mobile devices, social media and open data are reconfiguring the way data underpinning policy and science are being produced and consumed. This in turn is creating both opportunities and challenges for policy-making and science. There can be major benefits from t...
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Format: | Article |
Language: | English |
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MDPI AG
2016-03-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/16/3/403 |
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author | Alexander Kotsev Sven Schade Massimo Craglia Michel Gerboles Laurent Spinelle Marco Signorini |
author_facet | Alexander Kotsev Sven Schade Massimo Craglia Michel Gerboles Laurent Spinelle Marco Signorini |
author_sort | Alexander Kotsev |
collection | DOAJ |
description | The widespread diffusion of sensors, mobile devices, social media and open data are reconfiguring the way data underpinning policy and science are being produced and consumed. This in turn is creating both opportunities and challenges for policy-making and science. There can be major benefits from the deployment of the IoT in smart cities and environmental monitoring, but to realize such benefits, and reduce potential risks, there is an urgent need to address current limitations, including the interoperability of sensors, data quality, security of access and new methods for spatio-temporal analysis. Within this context, the manuscript provides an overview of the AirSensEUR project, which establishes an affordable open software/hardware multi-sensor platform, which is nonetheless able to monitor air pollution at low concentration levels. AirSensEUR is described from the perspective of interoperable data management with emphasis on possible use case scenarios, where reliable and timely air quality data would be essential. |
first_indexed | 2024-04-14T01:51:29Z |
format | Article |
id | doaj.art-497e7c4fa1ad4471b8b34690746a5650 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T01:51:29Z |
publishDate | 2016-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-497e7c4fa1ad4471b8b34690746a56502022-12-22T02:19:19ZengMDPI AGSensors1424-82202016-03-0116340310.3390/s16030403s16030403Next Generation Air Quality Platform: Openness and Interoperability for the Internet of ThingsAlexander Kotsev0Sven Schade1Massimo Craglia2Michel Gerboles3Laurent Spinelle4Marco Signorini5Digital Earth and Reference Data Unit, Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra 21027, ItalyDigital Earth and Reference Data Unit, Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra 21027, ItalyDigital Earth and Reference Data Unit, Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra 21027, ItalyAir and Climate Unit, Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra 21027, ItalyAir and Climate Unit, Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra 21027, ItalyLiberaintentio Srl, Malnate 21046, ItalyThe widespread diffusion of sensors, mobile devices, social media and open data are reconfiguring the way data underpinning policy and science are being produced and consumed. This in turn is creating both opportunities and challenges for policy-making and science. There can be major benefits from the deployment of the IoT in smart cities and environmental monitoring, but to realize such benefits, and reduce potential risks, there is an urgent need to address current limitations, including the interoperability of sensors, data quality, security of access and new methods for spatio-temporal analysis. Within this context, the manuscript provides an overview of the AirSensEUR project, which establishes an affordable open software/hardware multi-sensor platform, which is nonetheless able to monitor air pollution at low concentration levels. AirSensEUR is described from the perspective of interoperable data management with emphasis on possible use case scenarios, where reliable and timely air quality data would be essential.http://www.mdpi.com/1424-8220/16/3/403interoperable sensorsINSPIREAirSensEURInternet of Thingssensor observation servicesensor web enablementair quality |
spellingShingle | Alexander Kotsev Sven Schade Massimo Craglia Michel Gerboles Laurent Spinelle Marco Signorini Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things Sensors interoperable sensors INSPIRE AirSensEUR Internet of Things sensor observation service sensor web enablement air quality |
title | Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things |
title_full | Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things |
title_fullStr | Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things |
title_full_unstemmed | Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things |
title_short | Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things |
title_sort | next generation air quality platform openness and interoperability for the internet of things |
topic | interoperable sensors INSPIRE AirSensEUR Internet of Things sensor observation service sensor web enablement air quality |
url | http://www.mdpi.com/1424-8220/16/3/403 |
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