Addressing Service Quality Challenges in the Cloud and IoT Integration: A Case Study of Tourist Remote Healthcare System

The new paradigm of the Internet of Things (IoT) has attractiveness in healthcare so that it is used for medical purposes such as health monitoring for chronic diseases and caring for the elderly. The use of IoT technology can reduce costs, increase the quality of life and increase the Quality of Service (QoS). Remote monitoring applications that utilize technological advances in the IoT can deal with a large amount of real-time data. For this purpose, the cloud service attributes (e.g., high storage space and data processing capabilities at the edge) can be very valuable. Therefore, the integration of the cloud and IoT (a paradigm called CloudIoT or CoT) in improving healthcare delivery is becoming essential. In this article, we intend to express the challenges of service quality in remote care systems, to facilitate tourists' access to medical and specialized services by designing different scenarios using an intelligent routing system in different scenarios. Because usually, the people who need quick access to health and emergency services are tourists who do not know their current situation in advance. By designing three scenarios, we propose an approach to improve QoS challenges in the remote healthcare field. These three scenarios include routing without emergency situations, routing by considering healthcare services, and routing by considering emergency situations. This intelligent routing helps users choose the optimal treatment path or the optimal time path according to their needs. Finally, by analyzing the routing system in different scenarios, we suggest how much the service quality can improve in the field of intelligent healthcare through the cloud and IoT integration, and how the challenges of service quality can be addressed. These analyzes using the AHP (Analytical Hierarchy Process) program show that by using the intelligent routing program, improvements in real-time data processing, and data consistency can be achieved.