Abstract
Internet of things (IoT) technology has become the focus of many researchers, and quality of service (QoS) is considered one of the most important challenges for IoT technology. Additionally, the expectations of end users in the IoT environment are of great importance, which means that quality of experience (QoE) evaluations are significant. Therefore, this paper proposed a scheme to guarantee QoS in IoT environments. For this scheme, the most efficient QoS methodology was selected based on the data and network types in the IoT environment. The proposed QoS scheme classified the data transmitted through IoT systems into two main statuses. In the first status, called "individual", the data were exchanged through one type of large-scale network at a time. In the second status, "overlapped", the data passed through an area that comprised a mixture of different networks. The proposed scheme handled the QoS issue for both statuses. A QoE scheme evaluating the IoT data using different layers was also proposed. The proposed QoS and QoE schemes were then combined to create a more generalized QoE/QoS-oriented scheme, which was used to adapt the QoS scheme to achieve the highest efficiency. The performance of the QoE/QoS-oriented scheme was measured in a simulation environment that was constructed using an NS-3 package. First, the performance of the proposed QoS scheme was measured by two groups of metrics. The first group was general and comprised throughput, delay, and energy consumption. The second group was particular to the proposed QoS scheme and comprised transformation between individual and overlapped statuses, usage percentages for each QoS model, and the degree of complexity of the overlapped areas. The first group of metrics showed that the proposed QoE/QoS scheme had a higher efficiency than that of the previous individual QoS models. The second group of metrics showed that the features of the proposed QoS scheme worked efficiently. Finally, delay, energy consumption, throughput, and jitter were improved after the QoS methodologies were adapted using the proposed QoE scheme.