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dc.contributor.advisorSprintson, Alex
dc.contributor.advisorHou, I-Hong
dc.creatorLiu, Yao
dc.date.accessioned2014-05-13T17:29:23Z
dc.date.available2014-05-13T17:29:23Z
dc.date.created2013-12
dc.date.issued2013-11-26
dc.date.submittedDecember 2013
dc.identifier.urihttp://hdl.handle.net/1969.1/151906
dc.description.abstractThis thesis studies the problem of content distribution in wireless peer-to-peer networks with selfish nodes. In this problem a group of wireless nodes need to exchange a set of files over a lossless broadcast channel. Each node aims to maximize its own download rate and minimize its upload rate. We propose a distributed protocol that provides incentives for selfish nodes to participate in the content exchange. Our protocol does not require any exchange of money and reputation and hence can be easily implemented without additional infrastructure. Then, we will analyze the performance of our protocol by focusing on the import\-ant case in which the system contains two files that need to be distributed. We derive a closed-form expression of Nash Equilibrium and characterize the corresponding system performance in discrete time. Furthermore, we propose a distributed mechanism where the strategy of each node is only based on the observed history of the system and not on the private information of other nodes. We also study the performance characteristics of the systems that employ network coding to facilitate data exchange. We show that, due to the free rider problem network coding does not necessary improve the performance of the system and, in some cases, may lead to worse system performance. We propose a novel approach to this problem based on random coding. The performance of the network coding algorithms is validated by performing extensive simulation study.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectPeer-to-Peeren
dc.subjectWirelessen
dc.subjectGame Theoryen
dc.subjectNetwork Codingen
dc.subjectRandomized Algorithmen
dc.titleA Packet Scheduling Mechanism for Wireless Peer-to-Peer Content Distributionen
dc.typeThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberShakkottai, Srinivas
dc.contributor.committeeMemberNikolova, Evdokia
dc.type.materialtexten
dc.date.updated2014-05-13T17:29:23Z


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