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dc.contributor.authorNikolov, Milenen_US
dc.date.accessioned2015-04-06T20:14:06Z
dc.date.issued2015-01-26en_US
dc.identifier.otherbibid: 9154484
dc.identifier.urihttps://hdl.handle.net/1813/39388
dc.description.abstractWireless networks comprise the majority of devices within the growing edge of the global communication system. Performance metrics determining the successful application of wireless networks in that setting are goodput, latency and network lifetime. Overhead retransmissions due to redundant data transfer, inefficient transmissions, low link quality, and suboptimal network layer protocols affect negatively these three metrics. Designing wireless networks to minimize the overhead retransmissions encompasses three network levels: the data, structural and procedural levels. Encoded sensing (ES) is a "data-aware" scheme that shapes the network structural level to account for correlations across data sources and common data across groups of nodes. Via new encoding algorithms, ES achieves substantial reduction of the transmissions required to convey a message to a sink node. A few beneficial properties for network hardware and design, based on sparsity of ES signals, are also discussed. The structural level is further augmented by the placement of relay nodes to minimize the overhead retransmissions in the network due to low quality and heavily loaded links. Finally, the Time Sequence Scheme operates on the network procedural level, allowing for broadcast of messages reaching all network nodes, while minimizing redundant broadcast retransmissions. Explicitly minimizing the number of retransmissions at each of the three network levels impacts beneficially performance as shown by analysis and full network stack simulations.en_US
dc.language.isoen_USen_US
dc.subjectDigital communicationen_US
dc.subjectWireless networksen_US
dc.subjectenergy efficiencyen_US
dc.subjectMinimizing transmissionsen_US
dc.titleOptimal Topologies And Algorithms For Minimizing Data Retransmissions In Wireless Networksen_US
dc.typedissertation or thesisen_US
dc.description.embargo2020-01-27
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorCornell Universityen_US
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh. D., Electrical Engineering
dc.contributor.chairHaas, Zygmunt Jen_US
dc.contributor.committeeMemberHalpern, Joseph Yehudaen_US
dc.contributor.committeeMemberMolnar, Alyosha Christopheren_US


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