An adaptive QoE-based network interface selection for multi-homed eHealth devices

Abstract

Conventional network control mechanisms are no longer suitable for Internet of Things (IoT) because they don’t allow scalability with a guarantee of Quality of Experience (QoE) especially when it comes to the health sector characterized by its real time and critical life aspects. That’s why we need to think differently about control. One aspect consists of improving the network accessibility by considering Multi-homed terminals using multiple network access points simultaneously. In this paper we present a new Q-Learning-based adaptive network interface selection approach. Experimental results show that the proposed approach involve QoE compared to a simple linear programming approach. abstract environment.