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Integration of IoT and Fog Computing for the Development of COVID-19 Cluster Tracking System in Urban Cities

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Computational Intelligence for COVID-19 and Future Pandemics

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Abstract

In recent years, the Internet of Things (IoT) has gained compelling support for studies as a new research topic in a wide range of academic and industrial disciplines, especially in health care. The IoT revolution is reshaping contemporary healthcare systems by integrating technical, economic, and social perspectives. The emerging global pandemic challenges caused by the novel coronavirus (SARS-CoV-2) have been the biggest global public health issue since 2019. At the time this chapter was written, more than 61.8 million cases worldwide had already been diagnosed with COVID-19. In the sense of COVID-19, IoT-enabled devices or applications have the potential to recognize and monitor COVID-19 patients. Since there is no new development introduced to recognize COVID-19 clusters using the IoT and Fog computing up to date, this chapter provides a potential solution for identifying and monitoring clusters in the 1st, 2nd, and 3rd phases of the pandemic. Technologies regarding Fog computing, smart sensors, and IoT-based techniques have been used to build the framework. We have observed that the findings are very promising with high-performance accuracy.

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Authors and Affiliations

  1. Faculty of Engineering Technology, The Open University of Sri Lanka, Colombo, Sri Lanka

    H. M. K. K. M. B. Herath, G. M. K. B. Karunasena, H. D. N. S. Priyankara & B. G. D. A. Madushanka

  2. Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka

    H. M. W. T. Herath

  3. Faculty of Technology, University of Sri Jayewardenepura, Nugegoda, Sri Lanka

    W. R. De Mel

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  1. H. M. K. K. M. B. Herath
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  2. G. M. K. B. Karunasena
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Corresponding author

Correspondence to H. M. K. K. M. B. Herath .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Suleyman Demirel University, Isparta, Turkey

    Utku Kose

  2. Graduate School of Information, Waseda Univeristy, Shinjuku, Japan

    Junzo Watada

  3. Dept. of Computer Technology, Afyon Kocatepe University, Afyonkarahisar, Turkey

    Omer Deperlioglu

  4. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Jose Antonio Marmolejo Saucedo

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Herath, H.M.K.K.M.B., Karunasena, G.M.K.B., Herath, H.M.W.T., Priyankara, H.D.N.S., Madushanka, B.G.D.A., De Mel, W.R. (2022). Integration of IoT and Fog Computing for the Development of COVID-19 Cluster Tracking System in Urban Cities. In: Kose, U., Watada, J., Deperlioglu, O., Marmolejo Saucedo, J.A. (eds) Computational Intelligence for COVID-19 and Future Pandemics. Disruptive Technologies and Digital Transformations for Society 5.0. Springer, Singapore. https://doi.org/10.1007/978-981-16-3783-4_7

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