Fog Computing Architectures For Healthcare Wireless Performance And Semantic Opportunities
JOURNAL OF INFORMATION COMMUNICATION & ETHICS IN SOCIETY(2016)
摘要
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.
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关键词
Healthcare, Internet of Things, Cloud computing, Ontologies, Fog computing, Knowledge representation
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