Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4465
Title: Neural network based ATM admission controller
Authors: Joice Yanto
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Issue Date: 1999
Abstract: Broadband Integrated Service Digital Networks (B-ISDN), along with Asynchronous Transfer Mode (ATM), are designed to support the requirements of modern communication that cover multiple users with multimedia traffic including voice, data, video. The resource allocation by the ATM Connection Admission Control (CAC) is one of the crucial factors needed to meet the certain criteria of the network performance that must guarantee the quality of service negotiated of the existing connection. To develop a reliable ATM Connection Admission Controller is a very difficult task, because of the dynamic nature of the source traffic. The associated mathematical algorithm is complex.
URI: http://hdl.handle.net/10356/4465
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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