Edge Computing Applications for IoT in Healthcare: A Systematic Literature Review
Abstract The recent advantages in Internet of things (IoT) and growing of using wearable gadgets let to open a way to use these gadgets in remote health care systems that are powered by cloud, fog and edge computing that has been known Internet of Medical Things (IoMT) healthcare system. IoMT has been a flexible and more benefited system to cover traditional healthcare limitations by using technology and new smart devices abilities to improve medical treatment level also to overcome some difficulties during treatment. It could be more beneficial in critical or sensitive situations like epidemic diseases that COVID-19 could be one of them. Thus, for using technology-based systems some approaches addressed to be a solution that edge computing opened a door to get better and efficient system. Edge computing-based healthcare systems play a significant role to improve medical treatment in IoMT environments to reduce medical service cost. In this paper we illustrated a survey in IoT based healthcare to understand the different approaches which have been recently presented based on the Systematic Literature Review method. To addressing of this systematic study, we start to reviewing research studies that published between 2015 and 2020 by selection high-quality researches. So, we carefully selected 23 papers. We dare say that we have collected the most valuable articles presented in this newfound field. A systematic taxonomy is illustrated in this article over literature studies according to them context by using SLR process. the aim of this paper is the presentation of current studies in this field and discuss the primary issues and challenges that IoMT healthcare system should overcome to them. Finally, to providing the future directions in this big topic open issues and challenges presented to route researchers to get more valuable study.