Distributed Localization for Wireless Distributed Networks in Indoor Environments
dc.contributor.author | Mendoza, Hermie P. | en |
dc.contributor.committeechair | Reed, Jeffrey H. | en |
dc.contributor.committeemember | Bose, Tamal | en |
dc.contributor.committeemember | Volos, Haris I. | en |
dc.contributor.department | Electrical and Computer Engineering | en |
dc.date.accessioned | 2014-03-14T20:40:46Z | en |
dc.date.adate | 2011-08-18 | en |
dc.date.available | 2014-03-14T20:40:46Z | en |
dc.date.issued | 2011-06-28 | en |
dc.date.rdate | 2011-08-18 | en |
dc.date.sdate | 2011-06-28 | en |
dc.description.abstract | Positioning systems enable location-awareness for mobile devices, computers, and even tactical radios. From the collected location information, location-based services can be realized. One type of positioning system is based on location fingerprints. Unlike the conventional positioning techniques of time of or time delay of arrival (TOA/TDOA) or even angle of arrival (AOA), fingerprinting associates unique characteristics such as received signal strength (RSS) that differentiates a location from another location. The location-dependent characteristics then can be used to infer a user's location. Furthermore, fingerprinting requires no specialized hardware because of its reliance on an existing communications infrastructure. In estimating a user's position, fingerprint-based positioning systems are centrally calculated on a mobile computer using either a Euclidean distance algorithm, Bayesian statistics, or neural networks. With large service areas and, subsequently, large radio maps, one mobile computer may not have the adequate resources to locally compute a user's position. Wireless distributed computing provides a means for the mobile computer to meet the location-based service requirements and increase its network lifetime. This thesis develops distributed localization algorithms to be used in an indoor fingerprint-based positioning system. Fingerprint calculations are not computed on a single device, but rather on a wireless distributed computing network on Virginia Tech's Cognitive Radio Network Testbed (CORNET). | en |
dc.description.degree | Master of Science | en |
dc.identifier.other | etd-06282011-154448 | en |
dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-06282011-154448/ | en |
dc.identifier.uri | http://hdl.handle.net/10919/33805 | en |
dc.publisher | Virginia Tech | en |
dc.relation.haspart | Mendoza_HP_D_2011.pdf | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | fingerprinting | en |
dc.subject | indoor localization | en |
dc.subject | wireless distributed computing networks | en |
dc.subject | localization | en |
dc.title | Distributed Localization for Wireless Distributed Networks in Indoor Environments | en |
dc.type | Thesis | en |
thesis.degree.discipline | Electrical and Computer Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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