• 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