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A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments
The Internet of Things (IoT) is a rapidly evolving technology that is changing almost every business, and aquaculture is no exception. In this work we present an integrated IoT platform for the acquisition of environmental data and the monitoring of aquaculture environments, supported by a real-time...
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/PMC6865201/ https://www.ncbi.nlm.nih.gov/pubmed/31671733 http://dx.doi.org/10.3390/s19214695 |
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author | Sousa, Daniela Hernandez, Diego Oliveira, Francisco Luís, Miguel Sargento, Susana |
author_facet | Sousa, Daniela Hernandez, Diego Oliveira, Francisco Luís, Miguel Sargento, Susana |
author_sort | Sousa, Daniela |
collection | PubMed |
description | The Internet of Things (IoT) is a rapidly evolving technology that is changing almost every business, and aquaculture is no exception. In this work we present an integrated IoT platform for the acquisition of environmental data and the monitoring of aquaculture environments, supported by a real-time communication and processing network. The complete monitoring platform consists of environmental sensors equipped in a swarm of mobile Unmanned Surface Vehicles (USVs) and Buoys, capable of collecting aquatic and outside information, and sending it to a central station where it will be stored and processed. The sensing platform, formed by the USVs and Buoys, are equipped with multi-communication technology: IEEE 802.11n (Wi-Fi) and Bluetooth for short range communication, for mission delegation and the transmission of data collection, and LoRa for periodic report. On the back-end side, supported by FIWARE technology, an interactive web-based platform can be used to define sensing missions and for data visualization. Results on the sensing platform lifetime, mission control and delay processing time are presented to assess the performance of the aquatic monitoring system. |
format | Online Article Text |
id | pubmed-6865201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68652012019-12-09 A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments Sousa, Daniela Hernandez, Diego Oliveira, Francisco Luís, Miguel Sargento, Susana Sensors (Basel) Article The Internet of Things (IoT) is a rapidly evolving technology that is changing almost every business, and aquaculture is no exception. In this work we present an integrated IoT platform for the acquisition of environmental data and the monitoring of aquaculture environments, supported by a real-time communication and processing network. The complete monitoring platform consists of environmental sensors equipped in a swarm of mobile Unmanned Surface Vehicles (USVs) and Buoys, capable of collecting aquatic and outside information, and sending it to a central station where it will be stored and processed. The sensing platform, formed by the USVs and Buoys, are equipped with multi-communication technology: IEEE 802.11n (Wi-Fi) and Bluetooth for short range communication, for mission delegation and the transmission of data collection, and LoRa for periodic report. On the back-end side, supported by FIWARE technology, an interactive web-based platform can be used to define sensing missions and for data visualization. Results on the sensing platform lifetime, mission control and delay processing time are presented to assess the performance of the aquatic monitoring system. MDPI 2019-10-29 /pmc/articles/PMC6865201/ /pubmed/31671733 http://dx.doi.org/10.3390/s19214695 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 Sousa, Daniela Hernandez, Diego Oliveira, Francisco Luís, Miguel Sargento, Susana A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments |
title | A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments |
title_full | A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments |
title_fullStr | A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments |
title_full_unstemmed | A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments |
title_short | A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments |
title_sort | platform of unmanned surface vehicle swarms for real time monitoring in aquaculture environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865201/ https://www.ncbi.nlm.nih.gov/pubmed/31671733 http://dx.doi.org/10.3390/s19214695 |
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