An Architecture, Implementation, and Evaluation of Internet of Healthcare Things Ecosystem Platform
Subject Areas : ICTSayed Gholam Hassan Tabatabaei 1 * , sarvenaz aghadavoudi 2
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Keywords: Internet of Things (IoT), 5G, Network Slicing, Cloud Computing, Software Defined Networking (SDN), Network Function Virtualization (NFV).,
Abstract :
Nowadays, healthcare delivery has shifted from in-person appointments with doctors to disease prediction through remote monitoring, and healthcare has shifted from a traditional hospital-centric approach to a distributed patient-centric approach. It is important to use the Internet of Things as a technology that can provide a distributed patient-centric approach. Providing an architecture and, consequently, a platform that can meet this need is very valuable for healthcare organizations and related institutions, because prevention costs are considered more economical for citizens and the government than treatment costs. To respond to the issues raised, a conceptual architecture based on the integration of IoT technologies, 5G, fog/edge computing, cloud computing, network slicing, software-defined networking, and network function virtualization has been presented for electronic monitoring of citizens' health. A variety of medical and environmental sensors have been used to monitor citizens and their environmental conditions in real time and over time; Therefore, the main goal of this research is to present an IoT technology ecosystem architecture in the health sector in order to improve the quality and level of health of citizens and respond to health issues as a cost-effective solution. The ecosystem is specific to the health sector and cannot be used in other sectors due to the provision of health network slices. The results obtained from evaluating the solution based on efficiency and scalability criteria indicate the desirability of the solution because the execution time for up to 100 nodes has been calculated to be less than 1 second. The architecture can be implemented and used on a large scale and at the same time maintain its appropriate efficiency. In the proposed solution, the risk of premature loss of life in citizens is reduced because by real-time monitoring of citizens without a history of illness and citizens with a history of illness under care in the event of a critical situation, the percentage of life losses will be reduced with timely assistance, and the result of using this solution will be in the interest of user organizations and institutions.
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