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. 2021 Jul 29;25(4):2351–2368. doi: 10.1007/s10586-021-03367-4

Table 5.

Comparative summary among different architectures and the proposed one

Works Technologies COVID-19 Findings
IoT SDN NFV IR 4.0
Kumar et al. [2] X X X A monitoring system to decrease the spread of COVID-19 viral disease
Javaid et al. [10] X X X Industry 4.0 technology can assist in the proper isolation of an infected patient, thus minimizing disease spread
Kumar et al. [28] X X X Recognized twelve significant problems in the retail sector and adopted Industry 4.0 technology to tackle them.
Abdel et al. [13] X X The disruptive technologies are utilized to dissolve and restrict the spread of COVID-19 and COVID-19’s patients assure the consequence of an intelligent model
Garg et al. [14] X X X Study the different type of contact tracing application available and provided a better solution for tracing in order to restrict or identify the spread of the virus
Ndiaye et al. [11] X X An overview of IoT based healthcare system to fight against pandemic and future of healthcare system incorporating big data, drone and other latest technologies.
Singh et al. [15] X X X Identified framework of IoT to handle the lockdown situation due to pandemic worldwide by ensuring secured virtual meeting monitoring healthcare system remotely and online education system as well.
Otoom et al. [16] X X X With the aid of machine learning algorthims the authors in this work proposed a framework that can identify cases of COVID-19 by analysis the sysmptoms accurately and without delay.
Kolhar et al. [17] X X X Biometric system with the assistance of IoT to restrict the movement of the people during lockdown also to detect whether there is a mask on the face or not.
Rahman et al. [18] X X X Studied the possibilities of IoT models to fight against enquoteHCoV-19
Proposed Work Provided an SDN–IoT based intelligent model for Industry 4.0 and Incorporated among the technologies such as IoT, SDN, NFV, and Cloud to meet the demands for the COVID-19 situation