Abstract
In this paper, we demonstrate an example of using artificial intelligent in solving problems with complex and uncertain features in communication networks. The concept of Fuzzy Expert System is used in the design of an Active Queue Management (AQM) algorithm. Expert System and Fuzzy Logic are commonly used methods in solving various kinds of uncertain problems. Network congestion control is a problem with large scale and complexity, where no accurate and reliable model has been proposed so far. We believe Fuzzy Expert System methods have the potential to be applied to congestion control and solve those problems with uncertainties. This research demonstrates the possibility of using Fuzzy Expert System in the network congestion control. In this paper, a fuzzy-expert-system-based structure is proposed for network congestion control and a novel AQM algorithm is introduced. Simulation experiments are designed to show that the fuzzy-expert-system-based AQM algorithm exhibits a better performance than conventional approaches.
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Wu, J., Djemame, K. (2005). A Fuzzy-Expert-System-Based Structure for Active Queue Management. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_28
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DOI: https://doi.org/10.1007/11538356_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
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