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Modelling and Performance Evaluation of IoT Network During the COVID-19 Pandemic

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Innovations in Bio-Inspired Computing and Applications (IBICA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1372))

Abstract

Information from COVID-19 IoT (Internet of Things) devices is greatly important when it is fresh. However, the packets’ collision problem slows down the speed at which this information reaches, resulting in a wider spread of the virus. In this paper, we address this challenge by giving priority to COVID-19 IoT devices over consumer IoT devices. We propose a two-dimensional Markov chain for modelling the IoT network including COVID-19 IoT devices, then we derive the performance metrics. Our numerical results show a significant improvement in the performance of COVID-19 IoT network in terms of throughput and average delay. Our approach provides a reliable and fast wireless connection of COVID-19 IoT devices to the gateway.

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Author information

Authors and Affiliations

  1. Faculty of Sciences and Techniques, Computer, Networks, Mobility and Modeling Laboratory: IR2M, Hassan First University of Settat, 26000, Settat, Morocco

    Abdessamad Bellouch, Ahmed Boujnoui & Abdelkrim Haqiq

  2. F.S.J.E.S. Ait Melloul, Complex System and Interactions Research Team, Ibn Zohr University, Agadir, Morocco

    Abdellah Zaaloul

  3. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Abdelkrim Haqiq

Authors
  1. Abdessamad Bellouch
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  2. Ahmed Boujnoui
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  3. Abdellah Zaaloul
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  4. Abdelkrim Haqiq
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Corresponding author

Correspondence to Abdessamad Bellouch .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. National Institute of Information and Communications Technology (NICT), Koganei, Tokyo, Japan

    Hideyasu Sasaki

  3. Universidade Federal da Bahia, Salvador, Brazil

    Ricardo Rios

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. Institute of Technology and Science, Ghaziabad, Uttar Pradesh, India

    Umang Singh

  6. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

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Bellouch, A., Boujnoui, A., Zaaloul, A., Haqiq, A. (2021). Modelling and Performance Evaluation of IoT Network During the COVID-19 Pandemic. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_12

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