Mapping QoE with Resource Estimation in IoT

Technologies associated directly or indirectly with Internet of Things (IoT) are growing rapidly, paving way for multimedia-based IoT services such as social IoT (SIoT), healthcare/telemedicine, and Tactile Internet. Multimedia services require a certain level of quality of service (QoS), which can be a challenge in the case of resource-constrained devices, particularly, mobile nodes. Therefore, it becomes imperative to dynamically allocate resources incorporating quality of experience (QoE). In this paper, we provide a methodology for incorporating QoE in different ways such as overall QoE and the QoE provided by the current customer. QoE is determined through net promoter score (NPS). Our mathematical model determines the ratio with which the resources need to be scaled up to meet the desired QoS. We have implemented our model using Java, and tested its impact using the CloudSim simulator. The results show the effect of the QoE ratio determined by our proposed model.