Abstract
Internetworking multimedia over mobile and wireless ad hoc networks, usually requires real-time multimedia applications to include some intelligent adaptive capabilities. These capabilities allow these applications to adapt to the constantly and unpredictable changing network conditions, making the user perceive a good quality rather than a variable quality with continuous blackouts. Modeling the end-user perception of the quality that the multimedia application delivers,is a crucial issue to take into account when deciding when to change the application settings in terms of codecs, frame rates, video sizes, etc. We present our inductive approach to obtain a decision rule set to take such decisions.
Work supported by CICYT by means of the projects ISAIAS TIC2000-0198-P4-04 and SAM TIC2002-04531-C04-04.
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Botía, J.A., Ruiz, P., Salort, J., Gómez-Skarmeta, A. (2003). Improving User-Perceived QoS in Mobile Ad Hoc Networks Using Decision Rules Induction. In: Xiang, Y., Chaib-draa, B. (eds) Advances in Artificial Intelligence. Canadian AI 2003. Lecture Notes in Computer Science, vol 2671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44886-1_35
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DOI: https://doi.org/10.1007/3-540-44886-1_35
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