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Detection and alerting system of nearby medical facilities during emergency using IoT sensors

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Abstract

Recently, IoT smart homes have several connected devices, including home appliances, security, and monitoring devices. The imagined near-future system is heterogeneous to existing systems and includes advanced “decision-making” capabilities to independently change the network state. The main aim is to anticipate cyber threats to these systems and to provide digital researchers with focus points. In this paper, a near-future model is proposed called a sparse IoT classification reasoning network (SIoTCRN) that defines its features and their functions, including devices, services, and data flow. Using the FoG system model network, common usage cases are identified, and the potential issues for digital researchers working on such networks can be identified. For these situations, humans carry out a threat analysis to identify cyber-physical threats. Finally, the researcher’s test case studies of such heterogeneous systems and show the potential for device use.

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Acknowledgements

This work was supported by Key Scientific and Technological Project of Henan Province (172102210336) and Key Scientific Research Projects of Henan Province High Education (17B510004).

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Authors and Affiliations

  1. College of Electronic and Electrical Engineering, Henan Normal University, Xinxiang, 453007, Henan, China

    Huawei Zhan, Liangyuan Wang & Si Chen

  2. Henan Key Laboratory of Optoelectronic Sensing Integrated Application, Xinxiang, 453007, Henan, China

    Huawei Zhan, Liangyuan Wang & Si Chen

  3. Middlesex University, Hendon, London, UK

    Priyan Malarvizhi Kumar

  4. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, Malaysia

    P. Mohamed Shakeel

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  1. Huawei Zhan
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  2. Liangyuan Wang
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  3. Si Chen
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  4. Priyan Malarvizhi Kumar
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  5. P. Mohamed Shakeel
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Correspondence to Huawei Zhan.

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Zhan, H., Wang, L., Chen, S. et al. Detection and alerting system of nearby medical facilities during emergency using IoT sensors. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-021-03007-0

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  • DOI: https://doi.org/10.1007/s12652-021-03007-0

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