Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform

This paper is the design of a Radio Environment Map (REM) with a real-time tool to sense the radiofrequency spectrum and optimally places with Surrogate Modelling and Sequential Experimental Design tools a total of 72 SDR sensors in the selected area, using LoRa and/or NB-IoT technologies for networ...

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Main Authors: Yosvany Hervis Santana, David Plets, Rodney Martinez Alonso, Glauco A. Guillen Nieto, Nasiel Garcia Fernandez, Margot Deruyck, Wout Joseph
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2019/9767404
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spelling doaj-4520d2b36ad445ababd3f0a43e49cc662020-11-25T01:11:12ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772019-01-01201910.1155/2019/97674049767404Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management PlatformYosvany Hervis Santana0David Plets1Rodney Martinez Alonso2Glauco A. Guillen Nieto3Nasiel Garcia Fernandez4Margot Deruyck5Wout Joseph6Information Technology, Ghent University-IMEC, Ghent 9052, BelgiumInformation Technology, Ghent University-IMEC, Ghent 9052, BelgiumInformation Technology, Ghent University-IMEC, Ghent 9052, BelgiumR&D Telecom, LACETEL, Havana 19200, CubaR&D Telecom, LACETEL, Havana 19200, CubaInformation Technology, Ghent University-IMEC, Ghent 9052, BelgiumInformation Technology, Ghent University-IMEC, Ghent 9052, BelgiumThis paper is the design of a Radio Environment Map (REM) with a real-time tool to sense the radiofrequency spectrum and optimally places with Surrogate Modelling and Sequential Experimental Design tools a total of 72 SDR sensors in the selected area, using LoRa and/or NB-IoT technologies for networking. It permits the regulatory body to check the correct use of the assigned spectrum and constitutes a communication alternative in case of a catastrophic event, such as a hurricane or an earthquake, where radio and TV broadcasting play an important role in keeping people informed after such meteorological event. The radiobroadcast services use large antennas and high towers, making them vulnerable to such events. Regardless of the chosen technology, the IoT monitoring network will be more robust, since it uses small antennas and lower towers, and often a given area is covered by multiple base stations. The tool can be used to deploy new services in the nonserved area (e.g., 4G in the 700 MHz band at a lower cost or using TVWS techniques to provide communications and internet connection) and optimal interference management.http://dx.doi.org/10.1155/2019/9767404
collection DOAJ
language English
format Article
sources DOAJ
author Yosvany Hervis Santana
David Plets
Rodney Martinez Alonso
Glauco A. Guillen Nieto
Nasiel Garcia Fernandez
Margot Deruyck
Wout Joseph
spellingShingle Yosvany Hervis Santana
David Plets
Rodney Martinez Alonso
Glauco A. Guillen Nieto
Nasiel Garcia Fernandez
Margot Deruyck
Wout Joseph
Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform
Wireless Communications and Mobile Computing
author_facet Yosvany Hervis Santana
David Plets
Rodney Martinez Alonso
Glauco A. Guillen Nieto
Nasiel Garcia Fernandez
Margot Deruyck
Wout Joseph
author_sort Yosvany Hervis Santana
title Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform
title_short Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform
title_full Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform
title_fullStr Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform
title_full_unstemmed Tool for Recovering after Meteorological Events Using a Real-Time REM and IoT Management Platform
title_sort tool for recovering after meteorological events using a real-time rem and iot management platform
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2019-01-01
description This paper is the design of a Radio Environment Map (REM) with a real-time tool to sense the radiofrequency spectrum and optimally places with Surrogate Modelling and Sequential Experimental Design tools a total of 72 SDR sensors in the selected area, using LoRa and/or NB-IoT technologies for networking. It permits the regulatory body to check the correct use of the assigned spectrum and constitutes a communication alternative in case of a catastrophic event, such as a hurricane or an earthquake, where radio and TV broadcasting play an important role in keeping people informed after such meteorological event. The radiobroadcast services use large antennas and high towers, making them vulnerable to such events. Regardless of the chosen technology, the IoT monitoring network will be more robust, since it uses small antennas and lower towers, and often a given area is covered by multiple base stations. The tool can be used to deploy new services in the nonserved area (e.g., 4G in the 700 MHz band at a lower cost or using TVWS techniques to provide communications and internet connection) and optimal interference management.
url http://dx.doi.org/10.1155/2019/9767404
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