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SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced...

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Autores principales: Rahman, Anichur, Chakraborty, Chinmay, Anwar, Adnan, Karim, Md. Razaul, Islam, Md. Jahidul, Kundu, Dipanjali, Rahman, Ziaur, Band, Shahab S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318841/
https://www.ncbi.nlm.nih.gov/pubmed/34341656
http://dx.doi.org/10.1007/s10586-021-03367-4
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author Rahman, Anichur
Chakraborty, Chinmay
Anwar, Adnan
Karim, Md. Razaul
Islam, Md. Jahidul
Kundu, Dipanjali
Rahman, Ziaur
Band, Shahab S.
author_facet Rahman, Anichur
Chakraborty, Chinmay
Anwar, Adnan
Karim, Md. Razaul
Islam, Md. Jahidul
Kundu, Dipanjali
Rahman, Ziaur
Band, Shahab S.
author_sort Rahman, Anichur
collection PubMed
description The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced, the social-distancing lesson in the potential new-normal world seems to force stakeholders to encourage the deployment of contactless Industry 4.0 architecture. Thus, human-less or less-human operations to keep these IoT-enabled ecosystems running without interruptions have motivated us to design and demonstrate an intelligent automated framework. In this research, we have proposed “EdgeSDN-I4COVID” architecture for intelligent and efficient management during COVID-19 of the smart industry considering the IoT networks. Moreover, the article presents the SDN-enabled layer, such as data, control, and application, to effectively and automatically monitor the IoT data from a remote location. In addition, the proposed convergence between SDN and NFV provides an efficient control mechanism for managing the IoT sensor data. Besides, it offers robust data integration on the surface and the devices required for Industry 4.0 during the COVID-19 pandemic. Finally, the article justified the above contributions through particular performance evaluations upon appropriate simulation setup and environment.
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spelling pubmed-83188412021-07-29 SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic Rahman, Anichur Chakraborty, Chinmay Anwar, Adnan Karim, Md. Razaul Islam, Md. Jahidul Kundu, Dipanjali Rahman, Ziaur Band, Shahab S. Cluster Comput Article The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced, the social-distancing lesson in the potential new-normal world seems to force stakeholders to encourage the deployment of contactless Industry 4.0 architecture. Thus, human-less or less-human operations to keep these IoT-enabled ecosystems running without interruptions have motivated us to design and demonstrate an intelligent automated framework. In this research, we have proposed “EdgeSDN-I4COVID” architecture for intelligent and efficient management during COVID-19 of the smart industry considering the IoT networks. Moreover, the article presents the SDN-enabled layer, such as data, control, and application, to effectively and automatically monitor the IoT data from a remote location. In addition, the proposed convergence between SDN and NFV provides an efficient control mechanism for managing the IoT sensor data. Besides, it offers robust data integration on the surface and the devices required for Industry 4.0 during the COVID-19 pandemic. Finally, the article justified the above contributions through particular performance evaluations upon appropriate simulation setup and environment. Springer US 2021-07-29 2022 /pmc/articles/PMC8318841/ /pubmed/34341656 http://dx.doi.org/10.1007/s10586-021-03367-4 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Rahman, Anichur
Chakraborty, Chinmay
Anwar, Adnan
Karim, Md. Razaul
Islam, Md. Jahidul
Kundu, Dipanjali
Rahman, Ziaur
Band, Shahab S.
SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
title SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
title_full SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
title_fullStr SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
title_full_unstemmed SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
title_short SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
title_sort sdn–iot empowered intelligent framework for industry 4.0 applications during covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318841/
https://www.ncbi.nlm.nih.gov/pubmed/34341656
http://dx.doi.org/10.1007/s10586-021-03367-4
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