Fog computing architectures for healthcare: Wireless performance and semantic opportunities

Lisardo Prieto González (Institute of Information Systems (IIS), SRH Hochschule Berlin, Berlin, Germany and Computer Science (SEL), Universidad Carlos III de Madrid Escuela Politecnica Superior, Leganes, Spain)
Corvin Jaedicke (Institute of Information Systems (IIS), SRH Hochschule Berlin, Berlin, Germany)
Johannes Schubert (Institute of Information Systems (IIS), SRH Hochschule Berlin, Berlin, Germany)
Vladimir Stantchev (Institute of Information Systems (IIS), SRH Hochschule Berlin, Berlin, Germany)

Journal of Information, Communication and Ethics in Society

ISSN: 1477-996X

Publication date: 14 November 2016

Abstract

Purpose

The purpose of this study is to analyze how embedding of self-powered wireless sensors into cloud computing further enables such a system to become a sustainable part of work environment.

Design/methodology/approach

This is exemplified by an application scenario in healthcare that was developed in the context of the OpSIT project in Germany. A clearly outlined three-layer architecture, in the sense of Internet of Things, is presented. It provides the basis for integrating a broad range of sensors into smart healthcare infrastructure. More specifically, by making use of short-range communication sensors (sensing layer), gateways which implement data transmission and low-level computation (fog layer) and cloud computing for processing the data (application layer).

Findings

A technical in-depth analysis of the first two layers of the infrastructure is given to prove reliability and to determine the communication quality and availability in real-world scenarios. Furthermore, two example use-cases that directly apply to a healthcare environment are examined, concluding with the feasibility of the presented approach.

Practical implications

Finally, the next research steps, oriented towards the semantic tagging and classification of data received from sensors, and the usage of advanced artificial intelligence-based algorithms on this information to produce useful knowledge, are described together with the derived social benefits.

Originality/value

The work presents an innovative, extensible and scalable system, proven to be useful in healthcare environments.

Keywords

Acknowledgements

The preparation of this article has been partially supported by the German Federal Ministry of Education and Research (BMBF) through project OpSIT – Optimaler Einsatz von Smart-Items-Technologien in der Stationären Pflege (16SV6048).

Citation

Prieto González, L., Jaedicke, C., Schubert, J. and Stantchev, V. (2016), "Fog computing architectures for healthcare: Wireless performance and semantic opportunities", Journal of Information, Communication and Ethics in Society, Vol. 14 No. 4, pp. 334-349. https://doi.org/10.1108/JICES-05-2016-0014

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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