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dc.contributor.advisorShi, Hongchieng
dc.contributor.advisorShang, Yi, 1967-eng
dc.contributor.authorLi, Xiaoli, Ph. D.eng
dc.date.issued2007eng
dc.date.submitted2007 Falleng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file (viewed on March 6, 2008)eng
dc.descriptionThesis (Ph. D.) University of Missouri-Columbia 2007.eng
dc.description.abstract[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Wireless Sensor Network localization is an important aspect in sensor network applications such as tracking and monitoring. The general goal of localization is to obtain the best position estimation of each node under the constraints of the deploying cost, the capability of a sensor node platform, and the properties of the deploying environment. The purpose of this research is to investigate new algorithms and analyze the characteristics of their localization error in sensor network localization. In this dissertation, a new received signal strength (RSS) based algorithm RangeQ is presented. The simulation results show that the partial- range-aware algorithm can improve the localization accuracy by reducing position errors up to 50% of the previous range-free localization results. Based on the above algorithm, the Cramer-Rao lower bound (CRLB) has been derived for the localization problem. Simulation results show that RangeQ outperforms two range- free algorithms. A new anchor placement algorithm for optimal or near-optimal CRLB result is also presented.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.identifier.merlinb62602275eng
dc.identifier.oclc212915216eng
dc.identifier.urihttps://doi.org/10.32469/10355/5966eng
dc.identifier.urihttps://hdl.handle.net/10355/5966
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsAccess is limited to the campus of the University of Missouri--Columbia.eng
dc.subject.lcshSensor networkseng
dc.subject.lcshWireless communication systemseng
dc.titleAlgorithm design and error analysis of quantized RSSI based localization in wireless sensor networkseng
dc.typeThesiseng
thesis.degree.disciplineComputer science (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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