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Prediction of Satellite Shadowing in Smart Cities with Application to IoT

The combination of satellite direct reception and terrestrial 5G infrastructure is essential to guarantee coverage in satellite based-Internet of Things, mainly in smart cities where buildings can cause high power losses. In this paper, we propose an accurate and fast graphical method for predicting...

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Detalles Bibliográficos
Autores principales: Hornillo-Mellado, Susana, Martín-Clemente, Rubén, Baena-Lecuyer, Vicente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013962/
https://www.ncbi.nlm.nih.gov/pubmed/31947674
http://dx.doi.org/10.3390/s20020475
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author Hornillo-Mellado, Susana
Martín-Clemente, Rubén
Baena-Lecuyer, Vicente
author_facet Hornillo-Mellado, Susana
Martín-Clemente, Rubén
Baena-Lecuyer, Vicente
author_sort Hornillo-Mellado, Susana
collection PubMed
description The combination of satellite direct reception and terrestrial 5G infrastructure is essential to guarantee coverage in satellite based-Internet of Things, mainly in smart cities where buildings can cause high power losses. In this paper, we propose an accurate and fast graphical method for predicting the satellite coverage in urban areas and SatCom on-the-move scenarios. The aim is to provide information that could be useful in the IoT network planning process, e.g., in the decision of how many terrestrial repeaters are really needed and where they should be placed. Experiments show that the shadowed areas predicted by the method correspond almost perfectly with experimental data measured from an Eutelsat satellite in the urban area of Barcelona.
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spelling pubmed-70139622020-03-09 Prediction of Satellite Shadowing in Smart Cities with Application to IoT Hornillo-Mellado, Susana Martín-Clemente, Rubén Baena-Lecuyer, Vicente Sensors (Basel) Article The combination of satellite direct reception and terrestrial 5G infrastructure is essential to guarantee coverage in satellite based-Internet of Things, mainly in smart cities where buildings can cause high power losses. In this paper, we propose an accurate and fast graphical method for predicting the satellite coverage in urban areas and SatCom on-the-move scenarios. The aim is to provide information that could be useful in the IoT network planning process, e.g., in the decision of how many terrestrial repeaters are really needed and where they should be placed. Experiments show that the shadowed areas predicted by the method correspond almost perfectly with experimental data measured from an Eutelsat satellite in the urban area of Barcelona. MDPI 2020-01-14 /pmc/articles/PMC7013962/ /pubmed/31947674 http://dx.doi.org/10.3390/s20020475 Text en © 2020 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
Hornillo-Mellado, Susana
Martín-Clemente, Rubén
Baena-Lecuyer, Vicente
Prediction of Satellite Shadowing in Smart Cities with Application to IoT
title Prediction of Satellite Shadowing in Smart Cities with Application to IoT
title_full Prediction of Satellite Shadowing in Smart Cities with Application to IoT
title_fullStr Prediction of Satellite Shadowing in Smart Cities with Application to IoT
title_full_unstemmed Prediction of Satellite Shadowing in Smart Cities with Application to IoT
title_short Prediction of Satellite Shadowing in Smart Cities with Application to IoT
title_sort prediction of satellite shadowing in smart cities with application to iot
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013962/
https://www.ncbi.nlm.nih.gov/pubmed/31947674
http://dx.doi.org/10.3390/s20020475
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