Smart Healthcare and Quality of Service Challenges

Abstract

By increasing intelligence in health services, people's quality of life will improve and access to emergency medical services and care for patients and elderly will be faster and easier. Internet of Things (IoT) services can provide health care to a new generation of skilled services that are highly acclaimed. However, there are challenges in this area. One of these challenges includes assurance quality of service (QoS) due to the high volume of information. The existence of programs that produce a large amount of real-time data in terms of velocity and variety has turned this into a big data problem. To overcome these challenges, the researchers recommend the integration of the cloud and the Internet of Things. Due to this, the patient monitoring system is supported by the recent developments mainly by cloud computing and the IoT paradigms, so the integration of the two paradigm contributes significantly to the provision of more quality of services. This paper presents the characteristics of the cloud and the Internet of Things paradigms, which are used in remote healthcare. In addition, to provide smart health services with the best quality, we need to use cloud and IoT integration services, which is definitely one of the challenges of this area. Therefore, in this paper, first, the challenges of quality of service are expressed in the integration of the cloud and the Internet of Things services. Then, the challenges of QoS in smart healthcare services such as the limitation of use of sensor data, big data, lack of standard methods of quality of service and the complexity of cloud and IoT layers are reviewed based on this integration. Finally, a method for maintaining the quality of service in providing smart healthcare services is proposed.