Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105684
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Chen, Y | en_US |
dc.creator | Guo, M | en_US |
dc.creator | Shen, J | en_US |
dc.creator | Cao, J | en_US |
dc.date.accessioned | 2024-04-15T07:35:53Z | - |
dc.date.available | 2024-04-15T07:35:53Z | - |
dc.identifier.isbn | 978-1-5090-2771-2 (Electronic) | en_US |
dc.identifier.isbn | 978-1-5090-2772-9 (Print on Demand(PoD)) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/105684 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Y. Chen, M. Guo, J. Shen and J. Cao, "A Graph-Based Method for Indoor Subarea Localization with Zero-Configuration," 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), Toulouse, France, 2016, pp. 236-244 is available at https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0054. | en_US |
dc.title | A graph-based method for indoor subarea localization with zero-configuration | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 236 | en_US |
dc.identifier.epage | 244 | en_US |
dc.identifier.doi | 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0054 | en_US |
dcterms.abstract | Indoor subarea localization remains an open problem due to existing studies face two main bottlenecks, one is fingerprint-based methods require time-consuming site survey, another is triangulation-based methods is lack of scalability in large-scale environment. In this paper, we aim to present a graph-based method for indoor subarea localization with zero-configuration, which can be directly employed without offline manually constructing fingerprint map or pre-installing additional infrastructure. To accomplish this, we first utilize two unexploited characteristics of WiFi radio signal strength to generate logical floor graph,, then formulate the problem of constructing fingerprint map in terms of a graph isomorphism problem between logical floor graph, physical floor graph. Then, a Bayesian-based approach is utilized to estimate the unknown subarea in online localization. The proposed method has been implemented in a real-world shopping mall, extensive experimental results show that our method can achieve competitive performance comparing with existing methods. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | 2016 International IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 18 - 21 July 2016, Toulouse, France, p. 236-244 | en_US |
dcterms.issued | 2016 | - |
dc.identifier.scopus | 2-s2.0-85013212345 | - |
dc.relation.conference | Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing [UIC-ATC] | - |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-1326 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Basic Research 973 Program of China; National Natural Science Foundation of China; National Natural Science Foundation of China / Research Grants Council (NSFC/RGC); Changjiang Scholars and Innovative Research Team in University; Scientific In-novation Act of STCSM; EU FP7 CLIMBER project | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 9588915 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Cao_Graph-Based_Method_Indoor.pdf | Pre-Published version | 1.38 MB | Adobe PDF | View/Open |
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