FogIoHT: A weighted majority game theory based energy-efficient delay-sensitive fog network for internet of health things

Abstract

Internet of Health Things (IoHT) has become a demanding application of Internet of Things and cloud computing. In IoHT, the exchange and processing of health data are performed for monitoring the health status of patients. The health data collected using a body area network are stored and processed inside the cloud servers. The users can access the health data using their mobile devices as well as can receive health care advice. To reduce energy consumption and delay over the remote cloud servers, fog computing has been introduced. The health care system using fog computing is emerging due to the increasing need of energy and latency optimized health service provisioning. This article focuses on fog based Internet of Health Things for indoor as well as outdoor scenarios. In the proposed system the weighted majority game theory is used for selecting fog device in indoor and outdoor regions. Simulation results demonstrate that the proposed fog computing based system reduces the average delay, average jitter and energy consumption by approximately 15%, 20% and 15% respectively than the existing cloud only health care system.