Paper Info
Title
Defining Quality of Experience for the Internet of Things
Abstract
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.
Year
DOI
Venue
2020
10.1109/MITP.2020.2968259
IT Professional
Keywords
DocType
Volume
network quality factors,intelligent machines,machine-to-machine communications,artificial intelligence,IoT services,service quality degradation,QoE,industrial IoT,quality of experience,multimedia services,human factors
Journal
22
Issue
ISSN
Citations 
5
1520-9202
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Dimitar Minovski121.37
Christer Ahlund2536.74
Karan Mitra316917.84
Roman Zhohov400.34