Adaptive Traffic Management Scheme for Wireless and Wired Networks

Alasem, Rafe, Hossain, Alamgir and Awan, Irfan (2011) Adaptive Traffic Management Scheme for Wireless and Wired Networks. International Journal of Discrete Event Control Systems, 1 (2). pp. 151-158. ISSN 2230-990X

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Congestion Control is concerned with allocating the network resources such that the network can operate at an optimum performance level when the demand exceeds or it is near the capacity of the network resources. This paper presents a novel scheme of Adaptive Neuro-Fuzzy Inference controller (ANFIS). The advantages of both Fuzzy Logic and Neural Networks are combined together to design the ANFIS. The proposed scheme is implemented at the fusion point the connect the wireless network with the internet. A detailed comparison with the previous developed AQM controller Random Early Detection (RED) has been proposed. Finally, a simulation platform is developed, tested and validated to demonstrate the merits and capabilities of the proposed controller through a set of experiments and scenarios.

Item Type: Article
Uncontrolled Keywords: Congestion Control, Active Queue Management, Random Early detection, neural Networks, fuzzy logic, heterogeneous networks
Subjects: G400 Computer Science
G700 Artificial Intelligence
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Ay Okpokam
Date Deposited: 18 Jan 2012 10:45
Last Modified: 13 Oct 2019 00:31

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