Fog computing architectures for healthcare: Wireless performance and semantic opportunities
- 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 provereliability and to determine the communication quality and availability in real-world scenarios. Furthermore, two example use-cases that directly apply toPurpose – 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 provereliability 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.…
Author: | Ph.D. Lisardo Prieto-González, Corvin Jaedicke, Johannes Schubert, Prof. Dr. rer. nat Vladimir Stantchev |
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Parent Title (English): | Journal of Information, Communication and Ethics in Society |
Publisher: | Emerald |
Place of publication: | Bingley |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2018/02/13 |
Date of first Publication: | 2016/08/17 |
Publishing Institution: | SRH Berlin University of Applied Sciences |
Release Date: | 2018/02/13 |
Tag: | Cloud computing; Healthcare; Ontologies |
Volume: | 14 |
Issue: | 4 |
First Page: | 334 |
Last Page: | 349 |
Note: | Volltext aus urheberrechtlichen Gründen nicht verfügbar. Full text due to copyright no available. |
Link author profile: | https://www.srh-berlin.de/hochschule/hochschulteam/stantchev-vladimir/ |
Peer-reviewed: | Keine Angabe - No details |
JEL-Classification: | I Health, Education, and Welfare |
Licence (German): | ![]() |