Spatiotemporal neural networks for link-state routing protocols

Author

Shaikh-Husin, Nasir ; Meador, Jack L.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA

Volume

3

fYear

1996

fDate

12-15 May 1996

Firstpage

547

Abstract

This paper discusses the application of a mixed-signal VLSI realization of a recurrent spatiotemporal neural network to a computer network routing. The neural network exhibits a regular interconnect structure and uses simple processing units in a combination which is well suited for VLSI implementation with a standard fabrication process. Its ability to rapidly arrive at solutions to the single-source multiple-destination routing problem makes it particularly attractive for link-state network routing protocols

Keywords

VLSI; access protocols; computer networks; mixed analogue-digital integrated circuits; neural chips; recurrent neural nets; telecommunication network routing; computer network routing; link-state routing protocols; mixed-signal VLSI realization; recurrent spatiotemporal neural network; regular interconnect structure; single-source multiple-destination routing problem; Computer networks; Costs; Internet; Neural networks; Recurrent neural networks; Routing protocols; Shortest path problem; Spatiotemporal phenomena; Switches; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.541654

Filename

541654