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dc.contributor.advisorVasavada, Yash
dc.contributor.authorN, Sushantini
dc.date.accessioned2019-03-19T09:30:52Z
dc.date.available2019-03-19T09:30:52Z
dc.date.issued2018
dc.identifier.citationN, Sushantini (2018). Framework for Adaptive Video StreamingIn Satellite Networks. Dhirubhai Ambani Institute of Information and Communication Technology, ix, 71 p. (Acc. No: T00707)
dc.identifier.urihttp://drsr.daiict.ac.in//handle/123456789/741
dc.description.abstractVideo streaming over satellite networks has to be tactfully handled because of it's inherent characteristic of high latency that leads to inefficiency if feedback mechanismlike TCP is used. Further if the satellite communication network includesdynamically shareable channels among different users, it really gets difficult todetect the bandwidth of each of the channel and accordingly manage the videobeing streamed through each of the channels.The main thesis of this research work is to estimate the bandwidth in such dynamicallyvarying satellite communication channels. This is attempted by usingthe tool of Pathload in satellite communication network. But due to issues of latencyand buffers, bandwidth is inaccurately estimated through this tool. Hence,a solution for these problems is proposed which results in accurate bandwidthestimation in the satellite networks. As part of the solution, the waiting period inthe Pathload code is adjusted as per the requirements of satellite communicationnetwork; additionally, the buffers present in the network path are not letting thebandwidth to be estimated properly. To solve this issue, the buffers are filled withsome dummy data before starting the actual measurement which led to accurateresults. Thus, this proposed logic is verified in this thesis by conducting numerousexperiments which were done both in the case of empty link and also in thepresence of cross-traffic in the link. Consequently, Pathload is customised withabove changes to estimate the bandwidth appropriately in satellite communicationnetworks.
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectQuantization
dc.subjectSVC
dc.subjectBitrate streaming
dc.subjectIpref
dc.subjectPathload
dc.classification.ddc621.382 SUS
dc.titleFramework for adaptive video streamingIn satellite networks
dc.typeDissertation
dc.degreeM. Tech
dc.student.id201611013
dc.accession.numberT00707


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