Defining Quality of Experience for the Internet of Things

被引：6

作者：

Minovski, Dimitar ^{[1
,2
]}

Ahlund, Christer ^{[3
]}

Mitra, Karan ^{[1
]}

Zhohov, Roman ^{[1
]}

机构：

[1] Lulea Univ Technol, Lulea, Sweden

[2] InfoVista Sweden AB, Skelleftea, Sweden

[3] Lulea Univ Technol, Pervas & Mobile Comp, Lulea, Sweden

来源：

IT PROFESSIONAL | 2020年 / 22卷 / 05期

关键词：

Quality of experience; Internet of Things; Software measurement; Quality of service; Artificial intelligence; INTELLIGENCE;

D O I：

10.1109/MITP.2020.2968259

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Internet of Things (IoT) brings a set of unique and complex challenges to the field of Quality of Experience (QoE) evaluation. The state-of-the-art research in QoE mainly targets multimedia services, such as voice, video, and the Web, to determine quality perceived by end-users. Therein, main evaluation metrics involve subjective and objective human factors and network quality factors. Emerging IoT may also include intelligent machines within services, such as health-care, logistics, and manufacturing. The integration of new technologies such as machine-to-machine communications and artificial intelligence within IoT services may lead to service quality degradation caused by machines. In this article, we argue that evaluating QoE in the IoT services should also involve novel metrics for measuring the performance of the machines alongside metrics for end-users' QoE. This article extends the legacy QoE definition in the area of IoT and defines conceptual metrics for evaluating QoE using an industrial IoT case study.

引用

页码：62 / 70

页数：9

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