Multicast in Wireless Networks

dc.contributor.advisorDr. Injong Rhee, Committee Chairen_US
dc.contributor.advisorDr. George N. Rouskas, Committee Memberen_US
dc.contributor.advisorDr. Rudra Dutta, Committee Memberen_US
dc.contributor.advisorDr. Mihail Sichitiu, Committee Memberen_US
dc.contributor.authorWon, Hyung Suken_US
dc.date.accessioned2010-04-02T18:36:21Z
dc.date.available2010-04-02T18:36:21Z
dc.date.issued2010-02-14en_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.leveldissertationen_US
dc.degree.namePhDen_US
dc.descriptionNorth Carolina State University Theses Computer Science.;North Carolina State University Theses Computer Science.
dc.description.abstractMulticast is an efficient communication means of transmitting the same content to multiple receivers while minimizing network resource usage. However, wireless networks are very diverse and they have their own characteristics. Multicast has not been studied extensively for the networks different from traditional wired networks. Our thesis is to prove that multicast is an effective means in wireless networks. By efficiently using network resources through schedulers, multicast can be an effective communication means. Therefore, we study multicast scheduler adaptation to the wireless networks where existing multicast schemes are not applied directly. Among the wireless networks, we consider multicast in cellular data networks and disruption tolerant networks. First, we propose two proportionally fair multicast scheduling algorithms at the air interface in the downlink direction to adapt dynamic channel states in cellular data networks: Multicast Proportional Fairness (MPF) and Inter-Group Proportional Fairness (IPF) algorithms. Our algorithms take into account reported data rate requests from users and the average throughput of each user inside a cell and use this information to select an appropriate data rate for each group. We prove that MPF and IPF algorithms are proportionally fair among all users and among groups inside a cell respectively. Through simulations, we demonstrate that these algorithms achieve good balance between throughput and fairness among users and groups. Second, we study joint optimization of link scheduling, routing and replication for disruption-tolerant networks (DTNs). We define a new notion of optimality for DTNs, called "snapshot optimality" which uses only contemporarily available knowledge. We then present a new efficient approximation algorithm, called Distributed Max-Contribution (DMC) based only on locally and contemporarily available information. Through a simulation study based on real GPS traces, we show that DMC demonstrates near-optimal performance. By proposing an efficient multicast schedulers to cellular data networks and DTNs, we prove that multicast is an effective means of communication for wireless networks.en_US
dc.formatThesis (Ph.D.)--North Carolina State University.
dc.identifier.otheretd-11032009-155948en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/3778
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectwireless networksen_US
dc.subjectcellular data networksen_US
dc.subjectdisruption tolerant networksen_US
dc.subjectmulticast schedulingen_US
dc.titleMulticast in Wireless Networksen_US
dcterms.abstractKeywords: wireless networks, cellular data networks, disruption tolerant networks, multicast scheduling.
dcterms.extentxi, 127 pages : illustrations (some color), maps

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