Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/3318
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dc.contributor.advisorTayebi, Abdelhamid
dc.contributor.advisorShami, Abdallah
dc.contributor.authorGhaly, Mohamed A.
dc.date.accessioned2017-06-07T20:14:14Z
dc.date.available2017-06-07T20:14:14Z
dc.date.created2006
dc.date.issued2006
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/3318
dc.description.abstractThe demand for more communication bandwidth and network resources, has pushed researchers to find faster and more reliable data communication networks. Wavelength division multiplexing (WDM) is a promising technology to meet such increasing demands. To make use of the WDM networks, some issues need to be dealt with. This thesis discusses three problems, constraint-based path selection. Congestion Control and Admission Control. When selecting a path between the source and destination, in which some constraints are present, the choice of the path can have dramatic effects on the Quality of Service (QoS). Three path selection algorithms are compared in order to achieve optimum path selection. These algorithms are presented and analyzed in this thesis. The algorithms do not just deal with one path selection constraint but k-constraints. Two controllers are presented: A proposed congestion controller and the second is a call admission controller in circuit switched networks. The proposed congestion control algorithm is based on the fuzzy logic technique and aims to control the congestion in a WDM network through an adequate adjustment of the delay on the calls that are in the queue of the server. The adaptive admission controller for circuit switched networks is based on the optimization of resources in the network. Numerous Simulation results are presented which show the performance of each controller.
dc.language.isoen_US
dc.subjectWavelength division multiplexing
dc.subjectAutomatic control
dc.subjectFuzzy logic
dc.titleCongestion and admission control in WDM optical networks
dc.typeThesis
etd.degree.nameMaster of Science
etd.degree.levelMaster
etd.degree.disciplineEngineering : Control
etd.degree.grantorLakehead University
Appears in Collections:Retrospective theses

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