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An Internet of Things (IoT) Application on Volcano Monitoring
In the last few years, there has been a huge interest in the Internet of Things (hereinafter IoT) field. Among the large number of IoT technologies, the low-power wide-area network (hereinafter LPWAN) has emerged providing low power, low data-rate communication over long distances, enabling battery-...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865211/ https://www.ncbi.nlm.nih.gov/pubmed/31717744 http://dx.doi.org/10.3390/s19214651 |
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author | Awadallah, Shadia Moure, David Torres-González, Pedro |
author_facet | Awadallah, Shadia Moure, David Torres-González, Pedro |
author_sort | Awadallah, Shadia |
collection | PubMed |
description | In the last few years, there has been a huge interest in the Internet of Things (hereinafter IoT) field. Among the large number of IoT technologies, the low-power wide-area network (hereinafter LPWAN) has emerged providing low power, low data-rate communication over long distances, enabling battery-operated devices to operate for long time periods. This paper introduces an application of long-range (hereinafter LoRa) technology, one of the most popular LPWANs, to volcanic surveillance. The first low-power and low-cost wireless network based on LoRa to monitor the soil temperature in thermal anomaly zones in volcanic areas has been developed. A total of eight thermometers (end devices) have been deployed on a Teide volcano in Tenerife (Canary Islands). In addition, a repeater device was developed to extend the network range when the gateway did not have a line of sight connection with the thermometers. Combining LoRa communication capabilities with microchip microcontrollers (end devices and repeater) and a Raspberry Pi board (gateway), three main milestones have been achieved: (i) extreme low-power consumption, (ii) real-time and proper temperature acquisition, and (iii) a reliable network operation. The first results are shown. These results provide enough quality for a proper volcanic surveillance. |
format | Online Article Text |
id | pubmed-6865211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68652112019-12-09 An Internet of Things (IoT) Application on Volcano Monitoring Awadallah, Shadia Moure, David Torres-González, Pedro Sensors (Basel) Article In the last few years, there has been a huge interest in the Internet of Things (hereinafter IoT) field. Among the large number of IoT technologies, the low-power wide-area network (hereinafter LPWAN) has emerged providing low power, low data-rate communication over long distances, enabling battery-operated devices to operate for long time periods. This paper introduces an application of long-range (hereinafter LoRa) technology, one of the most popular LPWANs, to volcanic surveillance. The first low-power and low-cost wireless network based on LoRa to monitor the soil temperature in thermal anomaly zones in volcanic areas has been developed. A total of eight thermometers (end devices) have been deployed on a Teide volcano in Tenerife (Canary Islands). In addition, a repeater device was developed to extend the network range when the gateway did not have a line of sight connection with the thermometers. Combining LoRa communication capabilities with microchip microcontrollers (end devices and repeater) and a Raspberry Pi board (gateway), three main milestones have been achieved: (i) extreme low-power consumption, (ii) real-time and proper temperature acquisition, and (iii) a reliable network operation. The first results are shown. These results provide enough quality for a proper volcanic surveillance. MDPI 2019-10-26 /pmc/articles/PMC6865211/ /pubmed/31717744 http://dx.doi.org/10.3390/s19214651 Text en © 2019 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 Awadallah, Shadia Moure, David Torres-González, Pedro An Internet of Things (IoT) Application on Volcano Monitoring |
title | An Internet of Things (IoT) Application on Volcano Monitoring |
title_full | An Internet of Things (IoT) Application on Volcano Monitoring |
title_fullStr | An Internet of Things (IoT) Application on Volcano Monitoring |
title_full_unstemmed | An Internet of Things (IoT) Application on Volcano Monitoring |
title_short | An Internet of Things (IoT) Application on Volcano Monitoring |
title_sort | internet of things (iot) application on volcano monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865211/ https://www.ncbi.nlm.nih.gov/pubmed/31717744 http://dx.doi.org/10.3390/s19214651 |
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