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Erschienen in: Cluster Computing 2/2017

11.04.2017

Cloud-assisted IoT-based health status monitoring framework

verfasst von: Sara Ghanavati, Jemal H. Abawajy, Davood Izadi, Abdulhameed A Alelaiwi

Erschienen in: Cluster Computing | Ausgabe 2/2017

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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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Metadaten
Titel
Cloud-assisted IoT-based health status monitoring framework
verfasst von
Sara Ghanavati
Jemal H. Abawajy
Davood Izadi
Abdulhameed A Alelaiwi
Publikationsdatum
11.04.2017
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 2/2017
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-0847-y

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