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Permanent link (DOI): https://doi.org/10.7939/R35W58

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Indoor localization with passive sensors Open Access

Descriptions

Other title
Subject/Keyword
Sensor network
Indoor localization
Passive sensors
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Vosoughpour Yazdchi, Meisam
Supervisor and department
Stroulia, Eleni (Computing Science)
Examining committee member and department
Wong, Ken (Computing Science)
Zhang, Hong (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2013-01-31T11:04:42Z
Graduation date
2013-06
Degree
Master of Science
Degree level
Master's
Abstract
In this thesis, a framework is described that is designed to perform indoor localization in the Smart Condo (TM). A significant aspect of the framework is that it mainly operates on the basis of binary sensors - including motion sensors and occupancy sensors - and it primarily involves geometric computations. In addition, switch-type sensors have been incorporated. We have specifically designed and implemented a geometry library to facilitate the necessary computations, as well as a simulation tool to simulate the environment and its sensors. Compared to previous related research work, we adopt a more realistic environment model, as well as models for a person's body, and models for the sensors. In the experiments conducted, when the sensors are assumed to behave in an ideal fashion, we have achieved 67 cm and 49 cm as mean localization error for minimum coverage and dense coverage sensor configurations respectively. Under a more realistic sensor behavior model the corresponding numbers are 69 cm and 62 cm respectively.
Language
English
DOI
doi:10.7939/R35W58
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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