Developing and Evaluating A Real time and Energy Efficient Architecture for An Internet of Health Things

Real-time health monitoring systems play a critical role in preventing heart disease by processing vital sign monitoring data. The internet of things will enhance the entire health care service-delivery and can lead to reducing the immediate risk in real-time. Fog assisted health-care IoT system and Edge computing technology are an emerging paradigm that reducing emergency response time and enhanced the quality of experiences. In hierarchical architectures, the task placement strategy for a task or service is a challenge that requires a successful response. In this paper, we propose a quality of experiences-aware health monitoring application according to patients' demands and evaluate to clarify the impacts of different scenarios. The appropriate task placement scenarios in this hierarchical architecture lead to a satisfying quality of experience for improving health services. These policies are evaluated in terms of health services delivery, energy consumption, cost of execution(CoE) in the cloud, and network usage by iFogSim toolkit. In this paper, we have developed a new approach to improve resource management policies to achieve satisfactory results.