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SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
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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.
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Internet of things (IoT) applications to fight against COVID-19 pandemic
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received the B.Sc. and M.Sc. degree in Computer Science and Engineering from Mawlana Bhashani Science and Technology University (MBSTU), Tangail, Bangladesh in 2017 and 2020 respectively. Currently, he is working as a Lecturer at Computer Science and Engineering (CSE), National Institute of Textile Engineering and Research (NITER), Constituent Institute of the University of Dhaka, Savar, Dhaka, Bangladesh since January 2020 to present. His research interests include Internet of Things (IoT), Blockchain (BC), Software Defined Networking (SDN), Image Processing, Machine Learning, 5G, Industry 4.0 and Data Science.
Dr. Chinmay Chakraborty is an Assistant Professor (Sr.) in the Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. He worked at the Faculty of Science and Technology, ICFAI University, Agartala, Tripura, India as a Sr. Lecturer. He worked as a Research Consultant in the Coal India project at Industrial Engineering & Management, IIT Kharagpur. He worked as a Project Coordinator of the Telecommunication Convergence Switch project under the Indo-US joint initiative. He also worked as a Network Engineer in System Administration at MISPL, India. His main research interests include the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Telemedicine, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has published more than 100 papers at reputed international journals, conferences, book chapters, and books. He is an Editorial Board Member in the different Journals and Conferences. He is serving as a Guest Editor of MDPI-Future Internet Journal, Wiley-Internet Technology Letters, Springer-Annals of Telecommunications, Springer - International Journal of System Assurance Engineering and Management, Springer-Environment, Development, and Sustainability, and Lead Guest Editors of IEEE-JBHI, IGI-International Journal of E-Health and Medical Communications, Springer - Multimedia Tools and Applications, TechScience CMC, Springer - Interdisciplinary Sciences: Computational Life Sciences, Inderscience- International Journal of Nanotechnology, BenthamScience-Current Medical Imaging, Journal of Medical Imaging and Health Informatics, Lead Series Editor of CRC- Advances in Smart Healthcare Technologies, and also Associate Editor of International Journal of End-User Computing and Development, Journal of Science & Engineering, Int. Journal of Strategic Engineering, and has conducted a session of SoCTA-19, ICICC - 2019, Springer CIS 2020, SoCTA-20, SoCPaR 2020, and also a reviewer for international journals including IEEE Access, IEEE Sensors, IEEE Internet of Things, Elsevier, Springer, Taylor & Francis, IGI, IET, TELKOMNIKA Telecommunication Computing Electronics and Control, and Wiley. Dr. Chakraborty is co-editing several books on Smart IoMT, Healthcare Technology, and Sensor Data Analytics with Elsevier, CRC Press, IET, Pan Stanford, and Springer. He has served as a Publicity Chair member at renowned international conferences including IEEE Healthcom, IEEE SP-DLT. Dr. Chakraborty is a member of Internet Society, Machine Intelligence Research Labs, and Institute for Engineering Research and Publication. He received a Best Session Runner-up Award, Young Research Excellence Award, Global Peer Review Award, Young Faculty Award, and Outstanding Researcher Award. He was the speakers for AICTE, DST sponsored FDP and CEP Short Term Course.
is a Lecturer and Deputy Director of postgraduate cybersecurity studies at the School of Information Technology. Previously he has worked as a Data Scientist at Flow Power. He has over 8 years of research, and teaching experience in universities and research labs including NICTA, La Trobe University, and University of New South Wales. He received his PhD and Master by Research degree from UNSW. He is broadly interested in the security research for critical infrastructures including Smart Energy Grid, SCADA system, and application of machine learning and optimization techniques to solve cyber security issues for industrial systems. He has been the recipient of several awards including UPA scholarship, UNSW TFR scholarship, best paper award and several travel grants including ACM and Postgraduate Research Student Support (PRSS) travel grants. He has authored over 40 articles including high-impact journals (mostly in Q1), conference articles and book chapters in prestigious venues. He is an active member of IEEE for over 9 years and serving different committees.
received the B.Sc. degree in Computer Science and Engineering from Mawlana Bhashani Science and Technology University (MBSTU), Tangail, Bangladesh in 2020. His research interests include Image Processing, Machine Learning, Internet of Things (IoT), Blockchain (BC), Industry 4.0 and Data Science.
received the B.Sc. and M.Sc. degrees in Computer Science and Engineering from Jagannath University (Jnu), Dhaka, in 2015 and 2017 respectively. Currently, he is working as a Lecturer and Program Coordinator (Day) at Computer Science and Engineering (CSE), Green University of Bangladesh (GUB), Dhaka, Bangladesh since May 2017 to present. He is a member of Computing and Communication and Human-Computer Interaction (HCI) research groups, CSE, GUB. His research interests include Internet of Things (IoT), Blockchain, Network Function Virtualization (NFV), Software Defined Networking (SDN), 5G, Industry 4.0, Machine Learning, HCI, and Wireless Mesh Networking (WMN).
received the B.Sc. degree in Computer Science and Engineering from Chittagong University of Engineering and Technology (CUET), Bangladesh in 2018. Currently, she is working as a Lecturer at Computer Science and Engineering (CSE), National Institute of Textile Engineering and Research (NITER), Constituent Institute of the University of Dhaka, Savar, Dhaka, Bangladesh since January 2020 to present. Her research interests include Machine Learning, Human Computer Interaction, Internet of Things (IoT), Blockchain (BC), Software Defined Networking (SDN) 5G, Industry 4.0 and Robotics.
is currently a PhD Candidate at RMIT University, Melbourne, and an associate professor (currently in study leave) of the Department of ICT, MBSTU, Bangladesh. He was graduated from Shenyang University of Chemical Technology, China, in 2012 and completed Masters from IUT, OIC, in 2015. His articles received the best paper award and nomination in different international conferences and published in reputed journals. Also, he is an IEEE and ACM Graduate Member, Australian Computer Society (ACS) Associate Member as well. His research includes Blockchain, Industrial Internet of Things (IIoT), Cybersecurity, and Software Engineering.
received the M.Sc. degree in artificial intelligence from Iran, and the Ph.D. degree in computer science from the University of Malaya (UM), Malaysia, in 2014. He was an Adjunct Assistant Professor with the Department of Computer Science, Iran University of Science and Technology. He also severed as a Senior Lecturer with UM, Malaysia, and with Islamic Azad University, Iran. He participated in many research programs within the Center of Big Data Analysis, IUST and IAU. He has been associated with young researchers and elite club, since 2009. He supervised or co-supervised undergraduate and postgraduate students (master’s and Ph.D.) by research and training. He has also authored, or coauthored papers published in IF journals and attended to high-rank A and B conferences. He is an Associate Editor, a Guest Editor, and a Reviewer of high-quality journals and conferences. He is a professional member of the ACM.
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3367This 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.