Fog Computing in Healthcare: Systematic Review
Volume 34, Issue 3 (2023), pp. 577–602
Pub. online: 15 September 2023
Type: Research Article
Open Access
Open Access
Received
1 January 2023
1 January 2023
Accepted
1 August 2023
1 August 2023
Published
15 September 2023
15 September 2023
Abstract
Healthcare has seen many advances in sensor technology, but with recent improvements in networks and the addition of the Internet of Things, it is even more promising. Current solutions to managing healthcare data with cloud computing may be unreliable at the most critical moments. High response latency, large volumes of data, and security are the main issues of this approach. The promising solution is fog computing, which offers an immediate response resistant to disconnections and ways to process big data using real-time analytics and artificial intelligence (AI). However, fog computing has not yet matured and there are still many challenges. This article presents for a computer scientist a systematic review of the literature on fog computing in healthcare. Articles published in six years are analysed from the service, software, hardware, information technologies and mobility with autonomy perspectives. The contribution of this study includes an analysis of recent trends, focus areas and benefits of the use of AI techniques in fog computing e-health applications.
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Biographies
Navakauskas Dalius
D. Navakauskas is a full professor in the Department of Electronic Systems and Vice-Rector for Science and Innovation at Vilnius Gediminas Technical University, Lithuania. He received his honour diploma of radio-electronics engineer in 1992, MSc in electronics degree in 1994, doctor of electrical and electronic engineering degree in 1999, passed habilitation procedure in informatics engineering in 2005, received professor title in 2008, all at Vilnius Gediminas Technical University. Prof. D. Navakauskas is a senior member of the IEEE, active member of IEEE Computational Intelligence and Signal Processing Societies, currently serves as an IEEE R8 PEAC member and IEEE Lithuania Section Treasurer. He has published more than 100 internationally reviewed papers, two monographs in the field of intelligent electronic systems and four textbooks for students. Main research interests include computational intelligence, signal and image processing, bioinformatics.
Kazlauskas Mantas
M. Kazlauskas is a PhD student of electrical and electronic engineering in the Department of Electronic Systems at Vilnius Gediminas Technical University, Lithuania. He received diploma of computer science in 2017, MSc in computer engineering in 2020. M. Kazlauskas is a student member of the IEEE. Main research interests are computational intelligence, signal and image processing, informatics.
