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

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dc.contributor.advisor Simon, Robert
dc.contributor.author Abdulaziz, Mansour
dc.creator Abdulaziz, Mansour
dc.date.accessioned 2017-01-29T01:17:28Z
dc.date.available 2017-01-29T01:17:28Z
dc.date.issued 2016
dc.identifier.uri https://hdl.handle.net/1920/10622
dc.description.abstract The 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.extent 129 pages
dc.language.iso en
dc.rights Copyright 2016 Mansour Abdulaziz
dc.subject Computer science en_US
dc.subject Data Gathering en_US
dc.subject Low-Power and Lossy Networks en_US
dc.subject Mobile Collection en_US
dc.subject Multi-channel en_US
dc.subject Network Coding en_US
dc.subject Wireless Sensor Networks en_US
dc.title Data Collection Techniques Using Multi-Channel Network Coding in Low-Power and Lossy Networks
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Computational Science
thesis.degree.grantor George Mason University


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