A neural-network contention controller for packet switching networks

Author

Binh, Le Nguyen ; Chong, Hock Choong

Author_Institution

Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia

Volume

6

Issue

6

fYear

1995

fDate

11/1/1995 12:00:00 AM

Firstpage

1402

Lastpage

1410

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

Keywords

integrated optoelectronics; neural nets; packet switching; telecommunication control; telecommunication networks; K-winner-take-all neural-network technique; frozen state; neural network contention controller; nonblocking switching high-speed high-capacity packet switch; optoelectronic contention controller; output contention; packet loss; packet switching networks; real-time computation; speedup factor; synchronous switching mode; Communication switching; Computational modeling; Computer networks; Neural networks; Optical fiber communication; Optical packet switching; Optical switches; Packet switching; Switching circuits; Throughput;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.471367

Filename

471367