A neural networks approach of routing/flow control for communication networks

Author

Murgu, Alexandru ; Neittaanmaki, Pekka ; Hara, Veikko

Author_Institution

Dept. of Math., Jyvaskyla Univ., Finland

Volume

4

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

2667

Abstract

Considers an optimal control technique for solving dynamic, nonlinear, discrete time optimization problems based on reduced gradient and neural networks which is applied to optimal flow control in traffic networks with time-varying flows. The obtained results in terms of required computation time and flow assumptions are relevant for a real-time implementation of the routing/flow control algorithms

Keywords

directed graphs; neural nets; optimal control; optimisation; telecommunication network management; telecommunication network routing; telecommunication traffic; communication networks; dynamic nonlinear discrete time optimization problems; neural networks; real-time implementation; reduced gradient method; routing/flow control; time-varying flows; Area measurement; Communication networks; Communication system control; Communication system traffic control; Current measurement; Large-scale systems; Neural networks; Optimal control; Routing; Telecommunication control;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374643

Filename

374643