CAs-Based QoS Scheme for Remote Health Monitoring

Abstract

Integrated Wireless Networks (IWN) is an important area of today's research because of its application in comprehensive services like battlefield surveillance, traffic avoidance and control systems, mobile health monitoring, biological detection and agricultural fields, structural health monitoring, Computer-assisted rehabilitation and therapy, tele-robotic surgery, etc. IWNs are employed to collect voluminous data from different types of networks and correlate them to provide critical medical services with high reliability and efficiency. This paper proposes an architecture which uses Cognitive Agents (CAs) along with Behavior-Observation-Belief (BOB) model in the area of Remote Health Monitoring (RHM), in order to provide better QoS by reducing the latency. The analytical modeling and simulation of the proposed system shows that, there is a considerable reduction in latency compared to the existing Multi-Agent based m-Health Care system.