The use of artificial neural networks for optimal message routing

Author

Weissler, Paul N. ; Wang, Chia-Jiu

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado Univ., Colorado Springs, CO, USA

fYear

1992

fDate

11-14 Oct 1992

Firstpage

492

Abstract

The authors investigate the possibility of using an artificial neural network as an adaptive message router to provide optimal or near-optimal routing paths. Two different neural network architectures are implemented and tested against a network simulator to ascertain if their performance is adequate to allow them to be used as routing controllers in a network. A network simulator was written to investigate the performance of the JEB net of Jensen, Eshera, and Barash (1990) and the Hopfield net in routing messages. The results obtained using the enhanced JEB network show that the problem of optimal message routing can successfully by solved through the application of neural networks

Keywords

Hopfield neural nets; feedforward neural nets; message switching; optimisation; telecommunication network routing; telecommunications computer control; Hopfield net; JEB net; adaptive message router; artificial neural networks; feedforward network; neural network architectures; optimal message routing; simulation; Artificial neural networks; Communication system control; Computer networks; Cost function; Multi-layer neural network; Neural networks; Routing; Springs; Telecommunication traffic; Throughput;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1992. MILCOM '92, Conference Record. Communications - Fusing Command, Control and Intelligence., IEEE

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0585-X

Type

conf

DOI

10.1109/MILCOM.1992.244031

Filename

244031