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Cloud-assisted IoT-based health status monitoring framework

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Abstract

Internet of Things (IoT), leveraging interconnected sensors (i.e., wireless body area network (WBAN), can offer opportunities for real time monitoring of patient health status and manage patients and treatment. Therefore, it is expected that IoT will play a significant role in the next-generation healthcare provisioning. Although IoT-based patient health status monitoring has become very popular, monitoring patients remotely outside of hospital settings requires augmenting the capabilities of IoT with other resources for health data storage and processing. In this paper, we propose an IoT-based service-oriented framework for continuous patient health status monitoring framework that connects WBAN through smartphones to cloud computing. We theoretically model the proposed framework, which is the first attempt in this direction, and study the behaviour of the proposed IoT–WBANs-based framework. Experimental evaluation based on the sensor lifetime, existing cost and energy consumption shows that the proposed framework substantially outperforms the baseline WBANs.

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Acknowledgements

The authors are grateful to the reviewers for comments that have helped to improve this article. The help of Maliha Omar is also sincerely appreciated. Partial support from Deakin University and the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia through the research group project No RGP-VPP-318 is greatly appreciated.

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Authors and Affiliations

  1. School of Information technology, Deakin University, Waurn Ponds, Geelong, Australia

    Sara Ghanavati, Jemal H. Abawajy & Davood Izadi

  2. Software Engineering Department, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Abdulhameed A Alelaiwi

Authors
  1. Sara Ghanavati
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  2. Jemal H. Abawajy
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  3. Davood Izadi
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  4. Abdulhameed A Alelaiwi
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Corresponding author

Correspondence to Jemal H. Abawajy.

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Ghanavati, S., Abawajy, J.H., Izadi, D. et al. Cloud-assisted IoT-based health status monitoring framework. Cluster Comput 20, 1843–1853 (2017). https://doi.org/10.1007/s10586-017-0847-y

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  • DOI: https://doi.org/10.1007/s10586-017-0847-y

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