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Memorial University - Electronic Theses and Dissertations 5
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Document Description
TitleWi-Fi-based indoor positioning using human-centric collaborative feedback
AuthorLuo, Yan, 1986-
DescriptionThesis (M.Sc.)--Memorial University of Newfoundland, 2011. Computer Science
Paginationxi, 124 leaves : ill.
SubjectMobile computing; Wireless communication systems; Location-based services; Fingerprints
Degree GrantorMemorial University of Newfoundland. Dept. of Computer Science
DisciplineComputer Science
NotesBibliography: leaves 108-114.
AbstractPosition information is an important aspect of a mobile device's context. While GPS is widely used to provide location information, it does not work well indoors. Wi-Fi network infrastructure is found in many public facilities and can be used for indoor positioning. In addition, the ubiquity of Wi-Fi-capable devices makes this approach especially cost-effective. -- In recent years, "folksonomy"-like systems such as Wikipedia or Delicious Social Bookmarking have achieved huge successes. User collaboration is the defining characteristic of such systems. For indoor positioning mechanisms, it is also possible to incorporate collaboration in order to improve system performance, especially for fingerprinting-based approaches. -- In this thesis, a robust and efficient model is devised for integrating human-centric collaborative feedback within a baseline Wi-Fi fingerprinting-based indoor positioning system. Experiments show that the baseline system performance (i.e., positioning accuracy and precision) is improved by collecting both positive and negative feedback from users. Moreover, the feedback model is robust with respect to malicious feedback, quickly self-correcting based on subsequent helpful feedback from users.
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
RightsThe author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
CollectionElectronic Theses and Dissertations
Scanning StatusCompleted
PDF File(4.13 MB) --
CONTENTdm file name35120.cpd