Fog computing for Healthcare 4.0 environment: Opportunities and challenges

By Aparna Kumari, Sudeep Tanwar, Sudhanshu Tyagi, Neeraj Kumar. Computers & electrical engineering, 2018

406 citations recorded by the source corpus.

Abstract Internet of things provides interaction with billions of objects across the world using the Internet. In Internet of thing era, Healthcare Industry has grown-up from 1.0 to 4.0 generation. Healthcare 3.0 was hospital centric, where patients of long-lasting sickness suffered a lot due to multiple hospital visits for their routine checkups. This in turn, prolonged the treatment of such patients along with an increase in the overall expenditure on treatment of patients. However, with recent technological advancements such as fog and cloud computing, these problems are mitigated with a minimum capital investment on computing and storage facilities related to the data of the patients. Motivated from these facts, this paper provide an analysis of the role of fog computing, cloud computing, and Internet of things to provide uninterrupted context-aware services to the end users as and when required. We propose a three layer patient-driven Healthcare architecture for real-time data collection, processing and transmission. It gives insights to the end users for the applicability of fog devices and gateways in Healthcare 4.0 environment for current and future applications.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a7dcacb62082ea7dedcc0f73f091155b3e099cc3

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Citations in the corpus

Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey (2020, background): “Edge intelligence is used on a wide scale in different domains [121], [122] because of its numerous advantages, such as reduced bandwidth and threats, minimal latency, improved consistency, compliance, and lower cost.”
A Survey on Internet of Things and Cloud Computing for Healthcare (2019, background): “[22] 2018 X • Address various opportunities and challenges on applying fog computing to healthcare.”
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “Fog-based architectures are also expected to provide the tools for supporting medical devices to be implanted in human bodies to enhance and restore human functions such as-pacemakers to stimulate the heart muscle, deep brain stimulation system [53].”