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Low-Power IoT for Monitoring Unconnected Remote Areas

This paper deals with IoT devices deployed in remote areas without terrestrial Internet connectivity. We consider connecting IoT devices on the ground to the Internet through an aerial system based on an Unmanned Aerial Vehicle (UAV) for smart agriculture and environmental monitoring. The UAV flying...

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Detalles Bibliográficos
Autores principales: Andreadis, Alessandro, Giambene, Giovanni, Zambon, Riccardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181667/
https://www.ncbi.nlm.nih.gov/pubmed/37177684
http://dx.doi.org/10.3390/s23094481
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author Andreadis, Alessandro
Giambene, Giovanni
Zambon, Riccardo
author_facet Andreadis, Alessandro
Giambene, Giovanni
Zambon, Riccardo
author_sort Andreadis, Alessandro
collection PubMed
description This paper deals with IoT devices deployed in remote areas without terrestrial Internet connectivity. We consider connecting IoT devices on the ground to the Internet through an aerial system based on an Unmanned Aerial Vehicle (UAV) for smart agriculture and environmental monitoring. The UAV flying over the remote area receives data from distributed IoT devices. The transmissions between the ground sensors and the UAV are carried out via LoRa. We have proposed a synchronization protocol for the opportunistic communication of LoRa IoT devices with a gateway onboard the UAV to save node battery life. Class A LoRa nodes on the ground transmit only when the UAV is expected to pass close to them; otherwise, they stay in the sleeping state most of the time. This paper provides a detailed description of the formulation of the synchronization protocol. The UAV’s flying dynamics have been considered for characterizing its speed and the time of visibility of each IoT sensor. Our model has allowed an analytical approach that can help to determine the best settings for LoRa transmissions. Finally, experiments have been carried out to assess the path loss attenuation, and a laboratory setup of the synchronization protocol has been implemented for the preliminary validation of our scheme.
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spelling pubmed-101816672023-05-13 Low-Power IoT for Monitoring Unconnected Remote Areas Andreadis, Alessandro Giambene, Giovanni Zambon, Riccardo Sensors (Basel) Article This paper deals with IoT devices deployed in remote areas without terrestrial Internet connectivity. We consider connecting IoT devices on the ground to the Internet through an aerial system based on an Unmanned Aerial Vehicle (UAV) for smart agriculture and environmental monitoring. The UAV flying over the remote area receives data from distributed IoT devices. The transmissions between the ground sensors and the UAV are carried out via LoRa. We have proposed a synchronization protocol for the opportunistic communication of LoRa IoT devices with a gateway onboard the UAV to save node battery life. Class A LoRa nodes on the ground transmit only when the UAV is expected to pass close to them; otherwise, they stay in the sleeping state most of the time. This paper provides a detailed description of the formulation of the synchronization protocol. The UAV’s flying dynamics have been considered for characterizing its speed and the time of visibility of each IoT sensor. Our model has allowed an analytical approach that can help to determine the best settings for LoRa transmissions. Finally, experiments have been carried out to assess the path loss attenuation, and a laboratory setup of the synchronization protocol has been implemented for the preliminary validation of our scheme. MDPI 2023-05-04 /pmc/articles/PMC10181667/ /pubmed/37177684 http://dx.doi.org/10.3390/s23094481 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Andreadis, Alessandro
Giambene, Giovanni
Zambon, Riccardo
Low-Power IoT for Monitoring Unconnected Remote Areas
title Low-Power IoT for Monitoring Unconnected Remote Areas
title_full Low-Power IoT for Monitoring Unconnected Remote Areas
title_fullStr Low-Power IoT for Monitoring Unconnected Remote Areas
title_full_unstemmed Low-Power IoT for Monitoring Unconnected Remote Areas
title_short Low-Power IoT for Monitoring Unconnected Remote Areas
title_sort low-power iot for monitoring unconnected remote areas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181667/
https://www.ncbi.nlm.nih.gov/pubmed/37177684
http://dx.doi.org/10.3390/s23094481
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