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Cluster Computing
Erschienen in: Cluster Computing 4/2022

29.07.2021

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

verfasst von: Anichur Rahman, Chinmay Chakraborty, Adnan Anwar, Md. Razaul Karim, Md. Jahidul Islam, Dipanjali Kundu, Ziaur Rahman, Shahab S. Band

Erschienen in: Cluster Computing | Ausgabe 4/2022

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Abstract

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.
Vorheriger Artikel A secure authentication technique for connecting different IoT devices in the smart city infrastructure
Nächster Artikel An efficient malware detection approach with feature weighting based on Harris Hawks optimization

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Metadaten
Titel
SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
verfasst von
Anichur Rahman
Chinmay Chakraborty
Adnan Anwar
Md. Razaul Karim
Md. Jahidul Islam
Dipanjali Kundu
Ziaur Rahman
Shahab S. Band
Publikationsdatum
29.07.2021
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 4/2022
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-021-03367-4

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