Algorithm Selection Approach to Design Logical Topology in Next Generation Optical Networks

dc.contributor.guidePrabakaran.S
dc.coverage.spatial
dc.creator.researcherSelvaraj.P
dc.date.accessioned2020-10-27T05:48:27Z
dc.date.available2020-10-27T05:48:27Z
dc.date.awarded
dc.date.completed2019
dc.date.registered
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.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/304299
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science Engineering
dc.publisher.placeKattankulathur
dc.publisher.universitySRM University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.titleAlgorithm Selection Approach to Design Logical Topology in Next Generation Optical Networks
dc.title.alternative
dc.type.degreePh.D.

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