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5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps
Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identi...
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/PMC7038716/ https://www.ncbi.nlm.nih.gov/pubmed/32033076 http://dx.doi.org/10.3390/s20030828 |
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author | Varga, Pal Peto, Jozsef Franko, Attila Balla, David Haja, David Janky, Ferenc Soos, Gabor Ficzere, Daniel Maliosz, Markosz Toka, Laszlo |
author_facet | Varga, Pal Peto, Jozsef Franko, Attila Balla, David Haja, David Janky, Ferenc Soos, Gabor Ficzere, Daniel Maliosz, Markosz Toka, Laszlo |
author_sort | Varga, Pal |
collection | PubMed |
description | Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains. The methodology of the paper follows the steps of surveying state-of-the art, comparing results to identify further challenges, and drawing conclusions as lessons learned for each research domain. These areas include IIoT applications and their requirements; mobile edge cloud; back-end performance tuning; network function virtualization; and security, blockchains for IIoT, Artificial Intelligence support for 5G, and private campus networks. Beside surveying the current challenges and solutions, the paper aims to provide meaningful comparisons for each of these areas (in relation to 5G-enabled IIoT) to draw conclusions on current research gaps. |
format | Online Article Text |
id | pubmed-7038716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70387162020-03-09 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps Varga, Pal Peto, Jozsef Franko, Attila Balla, David Haja, David Janky, Ferenc Soos, Gabor Ficzere, Daniel Maliosz, Markosz Toka, Laszlo Sensors (Basel) Article Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains. The methodology of the paper follows the steps of surveying state-of-the art, comparing results to identify further challenges, and drawing conclusions as lessons learned for each research domain. These areas include IIoT applications and their requirements; mobile edge cloud; back-end performance tuning; network function virtualization; and security, blockchains for IIoT, Artificial Intelligence support for 5G, and private campus networks. Beside surveying the current challenges and solutions, the paper aims to provide meaningful comparisons for each of these areas (in relation to 5G-enabled IIoT) to draw conclusions on current research gaps. MDPI 2020-02-04 /pmc/articles/PMC7038716/ /pubmed/32033076 http://dx.doi.org/10.3390/s20030828 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 Varga, Pal Peto, Jozsef Franko, Attila Balla, David Haja, David Janky, Ferenc Soos, Gabor Ficzere, Daniel Maliosz, Markosz Toka, Laszlo 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps |
title | 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps |
title_full | 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps |
title_fullStr | 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps |
title_full_unstemmed | 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps |
title_short | 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps |
title_sort | 5g support for industrial iot applications— challenges, solutions, and research gaps |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038716/ https://www.ncbi.nlm.nih.gov/pubmed/32033076 http://dx.doi.org/10.3390/s20030828 |
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