A neural-network contention controller for packet switching networks

Authors:
Le Nguyen Binh;Hock Choong Chong
Affiliations:
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic.;-
Venue:
IEEE Transactions on Neural Networks
Year:
1995

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Abstract

A novel approach to solving the output contention in packet switching networks with synchronous switching mode is presented. A contention controller has been designed based on the K-winner-take-all neural-network technique with a speedup factor to achieve a real-time computation of a nonblocking switching high-speed high-capacity packet switch without packet loss. Simulation results for evaluation of the performance of the K-winner network controller with 10 neurons are presented to study the constraints of the “frozen state” as well as those of same initial state. An optoelectronic contention controller constructed from a K-winner neural network is proposed