DocumentCode
2171875
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
fYear
2015
fDate
22-24 July 2015
Firstpage
925
Lastpage
928
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location
Cambridge, United Kingdom
Print_ISBN
978-1-4799-6598-4
Type
conf
DOI
10.1109/ICCSE.2015.7250382
Filename
7250382
Link To Document