Unsupervised Clustering Algorithms for Reliable Routing and Data Dissemination using Optimization Techniques in Vehicular Adhoc Networks

dc.contributor.guideBHUVANESWARI A
dc.coverage.spatial
dc.creator.researcherRadhika, D
dc.date.accessioned2023-02-18T08:37:05Z
dc.date.available2023-02-18T08:37:05Z
dc.date.awarded2022
dc.date.completed2021
dc.date.registered2018
dc.description.abstractToday the usage of vehicles have increased tremendously. VANET is Vehicular Ad newlinehoc Network which promotes the road safety among the vehicles. In recent years, VANETs newlinehave emerged as a significant research area in the transportation sector. VANETs are newlineconsidered as reliable networks for vehicular communication on highways or urban newlineenvironments through the wireless medium. The purpose of VANET is to foster the QoS, newlinehigh connectivity, bandwidth and security besides the number of challenges. The issues of newlineVANET are routing and data dissemination due to its dynamic movement. Therefore, the newlineresearch work tries to find best clustering algorithms and optimization techniques for newlinereliable routing and data dissemination. newlineThe purpose of this research is to form cluster with a selected CH (Cluster Head) and newlineto select the optimal number of CHs. The path can be constructed from the source CH to the newlinedestination CH by sending the beacon messages. The proposed research work are as follows newlineMMBCMDSOR (Mean shift Margin Boost Clustering based Multivariate Dolphin Swarm newlineOptimized Routing), BEXCMWO (Bagging Ensemble X-Means Clustering based Multi newlinecriteria Whale Optimization), MIBCMCSO (Mutual Informated Brown Agglomerative newlineClustering based Multiattribute Cockroach Swarm Optimization) and DLRSCODOR (Deep newlineLearned Ruzicka Spectral Clustering based Oppositional Dragonfly Optimized Routing). newlineThese research contributions were developed using the unsupervised clustering algorithms newlineand optimization techniques to achieve routing and dissemination in an efficient manner. The newlinemobility parameters such as density, direction, distance and velocity were used for newlinepartitioning the network into clusters. To select the CH for a cluster, unsupervised clustering newlinealgorithms were used and for the selection of optimal CHs various optimization techniques newlinewere utilized. A beacon message is sent from the selected CHs to destination for the optimal newlinepath selection and thus achieves data dissemination. newlineAll the four proposed algorithms are impl
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/462096
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Applications
dc.publisher.placeTiruchirappalli
dc.publisher.universityBharathidasan University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.subject.keywordEngineering and Technology
dc.titleUnsupervised Clustering Algorithms for Reliable Routing and Data Dissemination using Optimization Techniques in Vehicular Adhoc Networks
dc.title.alternative
dc.type.degreePh.D.

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