Managing the Quality of Experience in the Multimedia Internet of Things: A Layered-Based Approach
Open accessAbstract
This paper addresses the issue of evaluating the Quality of Experience (QoE) for Internet of Things (IoT) applications, with particular attention to the case where multimedia content is involved. A layered IoT architecture is firstly analyzed to understand which QoE influence factors have to be considered in relevant application scenarios. We then introduce the concept of Multimedia IoT (MIoT) and define a layered QoE model aimed at evaluating and combining the contributions of each influence factor to estimate the overall QoE in MIoT applications. Finally, we present a use case related to the remote monitoring of vehicles during driving practices, which is used to validate the proposed layered model, and we discuss a second use case for smart surveillance, to emphasize the generality of the proposed framework. The effectiveness in evaluating classes of influence factors separately is demonstrated.
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In [31] on QoE in multimedia IoT, authors measure QoE objectively.
“For example, in one of such works [31] on QoE in multimedia IoT, authors measure QoE objectively.”
From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [31]
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- Authors
- Floris, A., & Atzori, L.
- Affiliations
- University of Cagliari (IT)
- Corresponding author
- Floris, Alessandro
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2016-12-02
- Volume
- 16
- Issue
- 12
- Pages
- 2057
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC5191038
- OpenAlex
- W2557821539
- Cited by
- 54
- References
- 20
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 1 · 2022: 7 · 2021: 3 · 2020: 13 · 2019: 12 · 2018: 10 · 2017: 1
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Social Sciences › Sociology and Political Science › Multimedia Communication and Technology
- Keywords
- quality of experience, QoE evaluation, remote vehicle monitoring, intelligent surveillance, multimedia content
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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