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A probabilistic context-aware approach for quality of experience measurement in pervasive systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2011 (English)In: Proceedings of the 26th Annual ACM Symposium on Applied Computing 2011: Taichung, Taiwan, March 21 - 24, 2011, New York: ACM Digital Library, 2011, 419-424 p.Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2011. 419-424 p.
Series
, ACM Symposium on Applied Computing
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-38973DOI: 10.1145/1982185.1982276Local ID: d8acfbcf-99fa-4e65-a1fb-23d8be60cbfbISBN: 978-145030113-8OAI: oai:DiVA.org:ltu-38973DiVA: diva2:1012481
Conference
ACM Symposium on Applied Computing : 21/03/2011 - 24/03/2011
Note
Validerad; 2011; Bibliografisk uppgift: 1 CD-ROM; 20110720 (ysko)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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Mitra, KaranZaslavsky, ArkadyÅhlund, Christer
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