Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/4101
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dc.contributor.authorNunia, Manish kumar-
dc.date.accessioned2013-11-28T11:10:09Z-
dc.date.available2013-11-28T11:10:09Z-
dc.date.issued2013-06-01-
dc.identifier.urihttp://10.1.7.181:1900/jspui/123456789/4101-
dc.description.abstractStreaming is the method of transmitting media as a stream of data that can be processed by the receiving computer before the entire file has been completely sent. Increasing the quality of the streaming leads to pre-requirement of high bandwidth and a tight control over the QoS parameters. The strict QoS parameter control requires better compression techniques along with efficient routing. For compression H.264 compression is explored and for routing purpose Ant based algorithms are explored. An ant is a simple creature; collectively a colony of ants performs useful tasks such as finding the shortest path to a food source and sharing this information with other ants by depositing pheromone. In the field of ant colony optimization (ACO), models of collective intelligence of ants are transformed into useful optimization techniques that find applications in computer networking.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries11MCEC22en_US
dc.subjectComputer 2011en_US
dc.subjectProject Report 2011en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject11MCEen_US
dc.subject11MCECen_US
dc.subject11MCEC22en_US
dc.subjectH.264en_US
dc.subjectAd-hoc networken_US
dc.subjectAnt Colony Optimization (ACO)en_US
dc.subjectAVC/SVCen_US
dc.subjectVideo Compressionen_US
dc.subjectSP/SI Framesen_US
dc.subjectHRDen_US
dc.titleOptimized Routing Of H.264 Using Ant Colony Optimizationen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

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