@Article{cmc.2023.030958,
AUTHOR = {Hongyuan Wang, Mohammed Dauwed, Imran Khan, Nor Samsiah Sani, Hasmila Amirah Omar, Hirofumi Amano, Samih M. Mostafa},
TITLE = {MEC-IoT-Healthcare: Analysis and Prospects},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {75},
YEAR = {2023},
NUMBER = {3},
PAGES = {6219--6250},
URL = {http://www.techscience.com/cmc/v75n3/52545},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2023.030958}
}