Open Access

ARTICLE

MEC-IoT-Healthcare: Analysis and Prospects

by Hongyuan Wang¹, Mohammed Dauwed², Imran Khan³, Nor Samsiah Sani^4,*, Hasmila Amirah Omar⁴, Hirofumi Amano⁵, Samih M. Mostafa⁶

1 College of Computer Science, Guangdong University of Science and Technology, DongGuan, 523083, China
2 Department of Medical Instrumentation Techniques Engineering, Dijlah University College, Baghdad, Iraq
3 Department of Electrical Engineering, University of Engineering & Technology, Peshawar, 814, Pakistan
4 Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
5 Research Institute for Information Technology, Kyushu University, Fukuoka, 819-0395, Japan
6 Computer Science-Mathematics Department, Faculty of Science, South Valley University, Qena, 83523, Egypt

* Corresponding Author: Nor Samsiah Sani. Email:

Computers, Materials & Continua 2023, 75(3), 6219-6250. https://doi.org/10.32604/cmc.2023.030958

Received 07 April 2022; Accepted 11 May 2022; Issue published 29 April 2023

Abstract

Physical sensors, intelligent sensors, and output recommendations are all examples of smart health technology that can be used to monitor patients’ health and change their behavior. Smart health is an Internet-of-Things (IoT)-aware network and sensing infrastructure that provides real-time, intelligent, and ubiquitous healthcare services. Because of the rapid development of cloud computing, as well as related technologies such as fog computing, smart health research is progressively moving in the right direction. Cloud, fog computing, IoT sensors, blockchain, privacy and security, and other related technologies have been the focus of smart health research in recent years. At the moment, the focus in cloud and smart health research is on how to use the cloud to solve the problem of enormous health data and enhance service performance, including cloud storage, retrieval, and calculation of health big data. This article reviews state-of-the-art edge computing methods that has shifted to the collection, transmission, and calculation of health data, which includes various sensors and wearable devices used to collect health data, various wireless sensor technologies, and how to process health data and improve edge performance, among other things. Finally, the typical smart health application cases, blockchain’s application in smart health, and related privacy and security issues were reviewed, as well as future difficulties and potential for smart health services. The comparative analysis provides a reference for the the mobile edge computing in healthcare systems.

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Keywords

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