Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/304299
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dc.date.accessioned2020-10-27T05:48:27Z-
dc.date.available2020-10-27T05:48:27Z-
dc.identifier.urihttp://hdl.handle.net/10603/304299-
dc.description.abstractThe optical network has been widely preferred by the operators for its newlineenormous bandwidth, low attenuation, reliable high speed transportation and scalability. newlineThe next generation optical networking involves exploiting the artificial intelligence and newlinecognitive methods to cater the necessities of the emerging internet based services. newlineImproving the Quality of Transmission (QoT) of such services without any additional newlinecost becomes the most challenging aspect in future communication system. Some of the newlineimportant challenges lie in computing the route and wavelength of the optical paths, newlineknown as RWA (Routing and Wavelength Assignment) problem. Even if the newlinecomputational complexity of online RWA algorithm is NP Hard, the sub optimal or best newlineeffort solutions can be computed in reasonable time. newlineIn this work, the RWA problem was analyzed and the avenues to improve newlinethe QoT with the optical based enabling technologies and cognition based software newlinedefined networking paradigm were explored. Initially, the need for Path Computation newlineElement (PCE) based algorithm selection approach for the enhancement of quality of newlinetransmission was discussed. Then, the single PCE based algorithm selection method newlinewith the utilization of dynamic selection of child PCEs was proposed and validated in a newlinesingle network autonomous system newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAlgorithm Selection Approach to Design Logical Topology in Next Generation Optical Networks
dc.title.alternative
dc.creator.researcherSelvaraj.P
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guidePrabakaran.S
dc.publisher.placeKattankulathur
dc.publisher.universitySRM University
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2019
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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80_recommendation.pdfAttached File64.57 kBAdobe PDFView/Open
abstract.pdf22.93 kBAdobe PDFView/Open
acknowledgment.pdf19.63 kBAdobe PDFView/Open
chapter 1.pdf238.1 kBAdobe PDFView/Open
chapter 2.pdf83.45 kBAdobe PDFView/Open
chapter 3.pdf420.35 kBAdobe PDFView/Open
chapter 4.pdf192.63 kBAdobe PDFView/Open
chapter 5.pdf574.77 kBAdobe PDFView/Open
chapter 6.pdf25.81 kBAdobe PDFView/Open
curriculum vitae.pdf18.41 kBAdobe PDFView/Open
declaration.pdf23.39 kBAdobe PDFView/Open
list of publications.pdf20.36 kBAdobe PDFView/Open
preliminary pages.pdf47.58 kBAdobe PDFView/Open
references.pdf61.74 kBAdobe PDFView/Open
title.pdf50.22 kBAdobe PDFView/Open


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