research-article

A probabilistic context-aware approach for quality of experience measurement in pervasive systems

Authors:

Karan Mitra,

Arkady Zaslavsky,

Christer ÅhlundAuthors Info & Claims

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

Pages 419 - 424

https://doi.org/10.1145/1982185.1982276

Published: 21 March 2011 Publication History

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Abstract

In this paper, we develop a novel context-aware approach for quality of experience (QoE) modeling, reasoning and inferencing in mobile and pervasive computing environments. The proposed model is based upon a state-space approach and Bayesian networks for QoE modeling and reasoning. We further extend this context model to incorporate influence diagrams for efficient QoE inferencing. Our approach accommodates user, device and quality of service (QoS) related context parameters to determine the overall QoE of the user. This helps in user-related media, network and device adaptation. We perform experimentation to validate the proposed approach and the results verify its modeling and inferencing capabilities.

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Cited By

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Skowronek JRaake ABerndtsson GRummukainen OUsai PGunkel SJohanson MHabets EMalfait LLindero DToet A(2022)Quality of Experience in Telemeetings and Videoconferencing: A Comprehensive SurveyIEEE Access10.1109/ACCESS.2022.317636910(63885-63931)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3176369
Halvaiee NAkbari M(2022)User quality of experience estimation using social network analysisMultimedia Systems10.1007/s00530-021-00883-628:3(1007-1026)Online publication date: 4-Feb-2022
https://doi.org/10.1007/s00530-021-00883-6
Brenon APortet FVacher M(2018)Context Feature Learning through Deep Learning for Adaptive Context-Aware Decision Making in the Home2018 14th International Conference on Intelligent Environments (IE)10.1109/IE.2018.00013(32-39)Online publication date: Jun-2018
https://doi.org/10.1109/IE.2018.00013
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Index Terms

A probabilistic context-aware approach for quality of experience measurement in pervasive systems
1. Information systems
  1. Information systems applications

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Information

Published In

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

March 2011

1868 pages

ISBN:9781450301138

DOI:10.1145/1982185

Conference Chairs:
William Chu
Tunghai University, TaiChung, Taiwan
,
W. Eric Wong
University of Texas at Dallas, Richardson, Texas
,
Program Chairs:
Mathew J. Palakal
Indiana University Purdue University, Indianapolis
,
Chih-Cheng Hung
Southern Polytechnic State University, Marietta

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 March 2011

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SAC'11: The 2011 ACM Symposium on Applied Computing

March 21 - 24, 2011

TaiChung, Taiwan

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Skowronek JRaake ABerndtsson GRummukainen OUsai PGunkel SJohanson MHabets EMalfait LLindero DToet A(2022)Quality of Experience in Telemeetings and Videoconferencing: A Comprehensive SurveyIEEE Access10.1109/ACCESS.2022.317636910(63885-63931)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3176369
Halvaiee NAkbari M(2022)User quality of experience estimation using social network analysisMultimedia Systems10.1007/s00530-021-00883-628:3(1007-1026)Online publication date: 4-Feb-2022
https://doi.org/10.1007/s00530-021-00883-6
Brenon APortet FVacher M(2018)Context Feature Learning through Deep Learning for Adaptive Context-Aware Decision Making in the Home2018 14th International Conference on Intelligent Environments (IE)10.1109/IE.2018.00013(32-39)Online publication date: Jun-2018
https://doi.org/10.1109/IE.2018.00013
Ghahfarokhi B(2018)Distributed QoE-aware channel assignment algorithms for IEEE 802.11 WLANsWireless Networks10.1007/s11276-014-0772-421:1(21-34)Online publication date: 29-Dec-2018
https://dl.acm.org/doi/10.1007/s11276-014-0772-4
Ghahfarokhi BMovahhedinia N(2018)A personalized QoE-aware handover decision based on distributed reinforcement learningWireless Networks10.1007/s11276-013-0572-219:8(1807-1828)Online publication date: 29-Dec-2018
https://dl.acm.org/doi/10.1007/s11276-013-0572-2
Sackl ASchatz RRaake A(2017)More than I ever wanted or just good enough? User expectations and subjective quality perception in the context of networked multimedia servicesQuality and User Experience10.1007/s41233-016-0004-z2:1Online publication date: 9-Feb-2017
https://doi.org/10.1007/s41233-016-0004-z
Noor TOsman NMkwawa I(2016)The impact of gender on the Quality of Experience for video services2016 22nd International Conference on Automation and Computing (ICAC)10.1109/IConAC.2016.7604967(488-492)Online publication date: Sep-2016
https://doi.org/10.1109/IConAC.2016.7604967
Liu JRosenberg CSimon GTexier G(2014)Optimal Delivery of Rate-Adaptive Streams in Underprovisioned NetworksIEEE Journal on Selected Areas in Communications10.1109/JSAC.2014.14040432:4(706-718)Online publication date: Apr-2014
https://doi.org/10.1109/JSAC.2014.140404
Mitra KAhlund CZaslavsky A(2012)Performance evaluation of a decision-theoretic approach for quality of experience measurement in mobile and pervasive computing scenarios2012 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2012.6214201(2418-2423)Online publication date: Apr-2012
https://doi.org/10.1109/WCNC.2012.6214201
Mitra KZaslavsky AÅhlund C(2011)Dynamic bayesian networks for sequential quality of experience modelling and measurementProceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking10.5555/2033707.2033722(135-146)Online publication date: 22-Aug-2011
https://dl.acm.org/doi/10.5555/2033707.2033722
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