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Integration of Autonomous Wireless Sensor Networks in Academic School Gardens
In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with e...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264123/ https://www.ncbi.nlm.nih.gov/pubmed/30366409 http://dx.doi.org/10.3390/s18113621 |
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author | Lopez-Iturri, Peio Celaya-Echarri, Mikel Azpilicueta, Leyre Aguirre, Erik Astrain, José J. Villadangos, Jesús Falcone, Francisco |
author_facet | Lopez-Iturri, Peio Celaya-Echarri, Mikel Azpilicueta, Leyre Aguirre, Erik Astrain, José J. Villadangos, Jesús Falcone, Francisco |
author_sort | Lopez-Iturri, Peio |
collection | PubMed |
description | In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean’s energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications. |
format | Online Article Text |
id | pubmed-6264123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62641232018-12-12 Integration of Autonomous Wireless Sensor Networks in Academic School Gardens Lopez-Iturri, Peio Celaya-Echarri, Mikel Azpilicueta, Leyre Aguirre, Erik Astrain, José J. Villadangos, Jesús Falcone, Francisco Sensors (Basel) Article In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean’s energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications. MDPI 2018-10-25 /pmc/articles/PMC6264123/ /pubmed/30366409 http://dx.doi.org/10.3390/s18113621 Text en © 2018 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 Lopez-Iturri, Peio Celaya-Echarri, Mikel Azpilicueta, Leyre Aguirre, Erik Astrain, José J. Villadangos, Jesús Falcone, Francisco Integration of Autonomous Wireless Sensor Networks in Academic School Gardens |
title | Integration of Autonomous Wireless Sensor Networks in Academic School Gardens |
title_full | Integration of Autonomous Wireless Sensor Networks in Academic School Gardens |
title_fullStr | Integration of Autonomous Wireless Sensor Networks in Academic School Gardens |
title_full_unstemmed | Integration of Autonomous Wireless Sensor Networks in Academic School Gardens |
title_short | Integration of Autonomous Wireless Sensor Networks in Academic School Gardens |
title_sort | integration of autonomous wireless sensor networks in academic school gardens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264123/ https://www.ncbi.nlm.nih.gov/pubmed/30366409 http://dx.doi.org/10.3390/s18113621 |
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