QoS‐Temperature‐Aware Energy‐Efficient Adaptive Routing Protocol for Wireless Body Area Networks

ABSTRACT Severe resource constraints, multi‐hop connections, variable topology, and high sensitivity of transmitted data have raised the issue of quality of service (QoS) as one of the serious issues for wireless body area networks (WBANs). Therefore, many papers have been introduced in this field to improve the important aspects of the QoS field. However, studies indicate that some important issues have not been well considered, the most important of which are the lack of measures to consider the dynamic conditions of nodes and the effective support for varying traffic QoS. In addition, the performance of most methods leads to a sharp increase in control overhead. In this paper, a QoS‐Temperature‐Aware energy‐efficient Adaptive Routing (QTAEEAR) based on the development of the Q‐learning algorithm has been introduced. QTAEEAR is a three‐step method. The routing table is created and updated in the first step. In the second step, routing and selecting the next‐hop node are performed based on the Q learning. In the third step, learning is updated in response to new network conditions. Simulation results using NS‐2 indicated the optimal performance and superiority of QTAEEAR compared to other similar methods.