Abstract
Nowadays, Wireless Body Area Networks (WBANs) are revolutionizing the field of healthcare applications which is deeply related to human life and requires a noteworthy attention. In this medical context, reliability, energy consumption and real time monitoring are the main Quality of Service (QoS) challenges to satisfy. This kind of networks relies on wireless channel medium which is sensitive to several factors such as body shadowing, interference, human postures and body signal absorption. In this paper, our main focus is to exploit the knowledge related to the link quality to select the most appropriate Body Node Coordinator (BNC) in order to improve the overall network performance. Our experimental study which is based on real testbeds revealed that the position of the BNC is sensitive to human morphology and practiced activity.