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Indoor localization in wireless sensor networks

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TitleInfo (displayLabel = Citation Title); (type = uniform)
Title
Indoor localization in wireless sensor networks
Name (ID = NAME001); (type = personal)
NamePart (type = family)
Patel
NamePart (type = given)
Amar H.
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Amar H. Patel
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author
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Gruteser
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Marco
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Advisory Committee
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Marco Gruteser
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chair
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Yates
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Roy
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Advisory Committee
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Roy Yates
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internal member
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Spasojevic
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Advisory Committee
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Predrag Spasojevic
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internal member
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Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
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Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2008
DateOther (qualifier = exact); (type = degree)
2008-10
Language
LanguageTerm
English
PhysicalDescription
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electronic
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application/pdf
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text/xml
Extent
xiii, 85 pages
Abstract
We considered the issue of indoor localization through the use of wireless sensor networks (WSN). We value not necessary the algorithm that provides the best accuracy but the one that provides a good enough level of accuracy in a simple and efficient manner. In the first part of our work we examined some state-of-the-art localization techniques that are deployable on wireless sensor motes. These techniques are evaluated to a set of criteria that an indoor WSN-based localization application must
consider. In our investigation, we considered not only accuracy but many other factors that determine a suitable indoor WSN-based localization system. These factors among other things determine energy efficiency. We broadly separate the criteria list into two categories: efficiency-based and accuracy-based. We discovered that one of the techniques, Ecolocation, evaluates quite well to the efficiency-based criteria, but the evaluation
of the accuracy-based criterions is not as promising. However, the inherent simplicity and potential for good performance (based on open
environment results) make the algorithm quite attractive. We proceeded to modify the algorithm to improve its accuracy while maintaining its
positive qualities. Our Weighted-Constraints algorithm, named as such due to the nature of the modification, performs in terms of average error 13.1% better than the original Ecolocation algorithm in an open environment. Furthermore, our modified algorithm shows it is more robust
to noise compared to the original algorithm by perform on average 21.2% better in a noisy environment.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 83-85).
Subject (ID = SUBJ1); (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (ID = SUBJ2); (authority = ETD-LCSH)
Topic
Wireless sensor networks
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17547
Identifier
ETD_1287
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3H995H2
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

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The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Amar Patel
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical

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