Title :
An Internet of Things QoE evaluation method based on multiple linear regression analysis
Author :
Li, Lu ; Rong, Mei ; Zhang, Guangquan
Author_Institution :
Department of Computer Engineering, Suzhou Vocational University, Suzhou, China
Abstract :
With the development of the Internet of things(IoT), many various IoT applications continue to emerge. How to evaluate the approbate degree of users on IoT applications is an important problem in IoT research. To address this problem, this paper presents an IoT quality of experience(QoE) evaluation method based on multiple linear regression analysis. Firstly, this paper analyzes the type of IoT applications, determines the quality of service(QoS) parameters of QoE and collects the sample data. Then, it gets the principal components by principal component analysis, associates QoE to the principal components based on multiple regression analysis and builds the regression equation between QoE and principal components. Finally, it gets the functional model between QoE and QoS parameters on the basis of the regression equation. Experimental results show that this evaluation method can reduce the complexity of QoE evaluation and quantify functional relation between QoE and QoS parameters.
Keywords :
Context; Correlation; Linear regression; Mathematical model; Principal component analysis; Quality of service; Stability analysis; IoT; multiple linear regression analysis; principal component analysis; qoe; qos;
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
DOI :
10.1109/ICCSE.2015.7250382