An Internet of Things QoE evaluation method based on multiple linear regression analysis

Lu Li, Mei Rong, Guangquan Zhang
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引用次数: 33

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.
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基于多元线性回归分析的物联网QoE评价方法
随着物联网的发展,各种各样的物联网应用不断涌现。如何评价用户对物联网应用的认可程度是物联网研究中的一个重要问题。针对这一问题,本文提出了一种基于多元线性回归分析的物联网体验质量(QoE)评价方法。首先,分析物联网应用类型,确定QoS (quality of service,服务质量)参数,采集样本数据。然后通过主成分分析得到主成分,通过多元回归分析将QoE与主成分关联起来,建立了QoE与主成分之间的回归方程。最后,在回归方程的基础上,得到了QoS质量质量与QoS参数之间的函数模型。实验结果表明,该评价方法降低了QoE评价的复杂性,量化了QoE与QoS参数之间的函数关系。
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