Document Type
Thesis
Date of Award
8-31-1991
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical Engineering
First Advisor
Nirwan Ansari
Second Advisor
Stanley S. Reisman
Third Advisor
Zoran Siveski
Abstract
The thesis describes a new neural network based traffic management scheme for a satellite communication network. The scheme consists of two levels of management. The front end of the scheme is a derivation of the Kohonen's self-organization model to configure maps for the satellite communication network dynamically, The model consists of three stages. The first stage is the pattern recognition task which selects an exemplar map that best meets the current network requirements. The second stage analyzes the discrepancy between the chosen exemplar map and the state of the network, and adaptively modifying the chosen exemplar map to conform closely to the network requirement (input data pattern) by Kohonen's self-organization. Based on certain performance criteria, whether a new map is generated to replace the original chosen map is decided in the third stage. A state-dependent routing algorithm. which arranges the incoming call to some proper path, is used to make the network more efficient, and to lower the call block rate. Simulation results demonstrate that the new scheme, which combine the self-organization and the state-dependent routing mechanisms, provides the best performance in term of call block rate, when compared with the scheme that has only either the self-organization mechanism or the routing mechanism.
Recommended Citation
Liu, Dequan, "The performance evaluation of a new neural network based traffic management scheme for a satellite communication network" (1991). Theses. 2550.
https://digitalcommons.njit.edu/theses/2550
