Fuzzy neural network based traffic prediction and congestion control in high-speed networks
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Abstract
Congestion control is one of the key problems in high-speed networks, such as ATM. In this paper, a kind of traffic prediction and preventive congestion control scheme is proposed using neural network approach. Traditional predictor using BP neural network has suffered from long convergence time and dissatisfying error. Fuzzy neural network developed in this paper can solve these problems satisfactorily. Simulations show the comparison among no-feedback control scheme, reactive control scheme and neural network based control scheme.
Keywords
congestion control neural network fuzzy neural network ATMPreview
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References
- [1]Fan P M. Access flow control scheme for ATM networks using neural-network-based traffic prediction.IEE Proce.-Commun. Oct. 1997, 144(5): 295–300.CrossRefGoogle Scholar
- [2]Melody Moh W, Chen Min-Jia, Chu Nui-Ming. Traffic prediction and dynamic bandwidth allocation over ATM: A neural network approachComputer Communications, Aug. 1995, 18(8): 563–571.CrossRefGoogle Scholar
- [3]Habib A T, Saadawi T. A neural network controller for congestion control in ATM multiplexers.Computer Networks and ISDN Systems, 1997, 29: 325–334.CrossRefGoogle Scholar
- [4]Ahmed A Tarraf, Ibrahim W Habib, Tarek N Saadawi. Intelligent traffic control for ATM broadband networks.IEEE Communications Magazine, Oct. 1995, 33(10): 76–82.CrossRefGoogle Scholar
- [5]Park Y K, Lee G. Application of neural networks in high-speed communication networks.IEEE Communications Magazine, Oct. 1995, 33(10): 68–74.CrossRefGoogle Scholar
- [6]Kartam Nabil, Tongthong Tanit. Potential of artificial neural networks for resource scheduling. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, Jun 1997, 11(3): 171–185.Google Scholar
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© Science Press, Beijing China and Allerton Press Inc. 2000