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Lookup NU author(s): Professor Raj Ranjan, Dr Pankesh Patel
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© The Author(s) 2021. The rapid evolution of the Internet of Things (IoT) is making way for the development of several IoT applications that require minimal or no human involvement in the data collection, transformation, knowledge extraction, and decision-making (actuation) process. To ensure that such IoT applications (we term them autonomic) function as expected, it is necessary to measure and evaluate their quality, which is challenging in the absence of any human involvement or feedback. Existing Quality of Experience (QoE) literature and most QoE definitions focuses on evaluating application quality from the lens of human receiving application services. However, in autonomic IoT applications, poor quality of decisions and resulting actions can degrade the application quality leading to economic and social losses. In this paper, we present a vision, survey and future directions for QoE research in IoT. We review existing QoE definitions followed by a survey of techniques and approaches in the literature used to evaluate QoE in IoT. We identify and review the role of data from the perspective of IoT architectures, which is a critical factor when evaluating the QoE of IoT applications. We conclude the paper by identifying and presenting our vision for future research in evaluating the QoE of autonomic IoT applications.
Author(s): Fizza K, Banerjee A, Mitra K, Jayaraman PP, Ranjan R, Patel P, Georgakopoulos D
Publication type: Review
Publication status: Published
Journal: Discover Internet of Things
Year: 2021
Volume: 1
Online publication date: 24/02/2021
Acceptance date: 12/01/2021
ISSN (electronic): 2730-7239
Publisher: Springer Nature
URL: https://doi.org/10.1007/s43926-021-00006-7
DOI: 10.1007/s43926-021-00006-7
