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Integrating IoT and Fog Computing for Healthcare Service Delivery

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Components and Services for IoT Platforms

Abstract

Internet of Things (IoT) technologies provide many opportunities for providing healthcare applications such as home based assisted living and well-being application solutions. Nowadays, numerous IoT devices are used to monitor users’ healthcare status and transmit the data directly to remote data centers through the cloud computing paradigm. This direct interconnection of the large amount of devices for remote storage, processing, and retrieval of medical records in the cloud demands a reliable network connection imposing many challenges related to network connectivity and traffic. This chapter deals with the transfer of the computing intelligence from cloud to the edge network. Fog computing operates closer to the user, on network edge, enabling accurate service delivery with low response time avoiding delays and network failures that may interrupt or delay the decision process and healthcare service delivery. An architectural model is proposed and a set of use cases illustrate the benefits of the IoT and fog computing integration.

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Acknowledgements

The present work was undertaken in the context of the “nExt generation eMergencY commuNicatiOnS - (EMYNOS) project” with contract number 653762. The project has received research funding from the H2020 European Framework Programme.

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Authors and Affiliations

  1. Hellenic Open University, Patras, 26335, Greece

    Foteini Andriopoulou & Theofanis Orphanoudakis

  2. Division of Computer Science and Informatics London South Bank University, 103 Borough Road, SE1 0AA, London, UK

    Tasos Dagiuklas

Authors
  1. Foteini Andriopoulou
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  2. Tasos Dagiuklas
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  3. Theofanis Orphanoudakis
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Corresponding author

Correspondence to Foteini Andriopoulou .

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Editors and Affiliations

  1. Technological Educational Institute of Western Greece, Embedded System Design and Application Laboratory (ESDA), Antirio, Greece

    Georgios Keramidas

  2. Technological Educational Institute of Western Greece, Embedded System Design and Application Laboratory (ESDA), Antirio, Greece

    Nikolaos Voros

  3. Chair for Embedded Systems for Information Technology (ESIT), Ruhr Universität Bochum, Bochum, Germany

    Michael Hübner

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Andriopoulou, F., Dagiuklas, T., Orphanoudakis, T. (2017). Integrating IoT and Fog Computing for Healthcare Service Delivery. In: Keramidas, G., Voros, N., Hübner, M. (eds) Components and Services for IoT Platforms. Springer, Cham. https://doi.org/10.1007/978-3-319-42304-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-42304-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42302-9

  • Online ISBN: 978-3-319-42304-3

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