Data Collection Techniques Using Multi-Channel Network Coding in Low-Power and Lossy Networks

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dc.contributor.advisorSimon, Robert
dc.contributor.authorAbdulaziz, Mansour
dc.creatorAbdulaziz, Mansour
dc.date.accessioned2017-01-29T01:17:28Z
dc.date.available2017-01-29T01:17:28Z
dc.date.issued2016
dc.description.abstractThe underlying motivation for my dissertation research is to investigate the combined use of wireless network coding with multi-channel communication to perform data collection in low-power and lossy networks (LLNs). Network coding allows eavesdropping on non-source, non-destination wireless nodes in order to recombine overheard data with its own data, which increases the ability of the ultimate destination to recover a high amount of information, even in the case of high bit error rates. Coordinated multi-channel communication has the potential to dramatically increase the throughput for many types of LLN applications. My work seeks to unify network coding and coordinated multi-channel communication. I consider several important classes of LLN applications, including scenarios with static data collection sinks and mobile data collection sinks.
dc.format.extent129 pages
dc.identifier.urihttps://hdl.handle.net/1920/10622
dc.language.isoen
dc.rightsCopyright 2016 Mansour Abdulaziz
dc.subjectComputer science
dc.subjectData Gathering
dc.subjectLow-Power and Lossy Networks
dc.subjectMobile Collection
dc.subjectMulti-channel
dc.subjectNetwork Coding
dc.subjectWireless Sensor Networks
dc.titleData Collection Techniques Using Multi-Channel Network Coding in Low-Power and Lossy Networks
dc.typeDissertation
thesis.degree.disciplineComputational Science
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

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