Enhancement Of Traffic Collision Avoidance Using Token Bucket Algorithm

• Main Author: Mat Nawi, Nor Afifah
• Format: Thesis
• Language: English; English
• Published: UTeM 2016
• Subjects: T Technology (General)
• Online Access: http://eprints.utem.edu.my/id/eprint/18547/1/Enhancement%20Of%20Traffic%20Collision%20Avoidance%20Using%20Token%20Bucket%20Algorithm%2024%20Pages.pdf; http://eprints.utem.edu.my/id/eprint/18547/2/Enhancement%20Of%20Traffic%20Collision%20Avoidance%20Using%20Token%20Bucket%20Algorithm.pdf; http://eprints.utem.edu.my/id/eprint/18547/; http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000102205

Traffic collision is one of the problems that occur in the wired network. In order to provide a high performance network, QoS is required. Traffic shaping is one of the tools to provide QoS in the network traffic. However, implement the basic mechanism of traffic shaping cannot solve the issued. In this project, the optimal size of bucket in Token Bucket Algorithm is used as one of the techniques in traffic shaping. The variables of this algorithm is modified in order to offer the effective proposed token bucket size that can be used in wired network. Then, this project will be tested using OPNET modeler.