Title :
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
fDate :
11/1/1995 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on
