A QoS alert Scheduling based on Q-learning for Medical Wireless Body Area Network

The latest generation of personal area networks and, more apparently, wireless body area networks (WBANs) are the pivotal building blocks of future generation networks, and the Internet of Things as well. In this paper, we propose a quality of service (QoS) alert scheduling scheme based on Q-learning for internet of things (IoT) enabled medical WBAN. As an optimization problem, the scheduling intends to maintain a tradeoff between overall sum rate and response time of the network. This task is certainly a big challenge as a typical medical WBAN has no centralized coordinator. To overcome this, we formulate an analytical framework of medical WBAN message passing scenario using M/M/c/K queuing model and develop a Q-learning based scheduling algorithm. Through simulation analysis, we prove the efficiency of the proposed method over previous approaches.