Document Type
Thesis
Date of Award
10-31-1991
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Irving Y. Wang
Second Advisor
Edwin Hou
Third Advisor
N. M. Ravindra
Abstract
Broadband Integrated Services Digital Networks (B-ISDN) are considered to become the standard communications networks in the near future. Major research efford is being applied in determining the appropriate mode of operation for B-ISDN systems. Two proposals, the Synchronous Transfer Mode (STM) and the Asynchronous Transfer Mode (ATM) claim to best fit the B-ISDN transmission requirements individually. A new method for B-ISDN traffic control is proposed in this paper. This method assigns priority levels to incoming traffic while integrating STM with ATM. A neural network is used to decide how the multiplexing of the incoming packets will be performed. Several traffic patterns are used for the simulation of the proposed B-ISDN controller.
Recommended Citation
Zervoudakis, Stavros, "Broadband ISDN control using neural networks" (1991). Theses. 2684.
https://digitalcommons.njit.edu/theses/2684
