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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7013962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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