DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Dongsoo | ko |
dc.contributor.author | Sahar, Ayesha | ko |
dc.contributor.author | Berkner, Joseph | ko |
dc.contributor.author | Lee, Gunwoo | ko |
dc.date.accessioned | 2019-08-29T02:20:10Z | - |
dc.date.available | 2019-08-29T02:20:10Z | - |
dc.date.created | 2019-08-26 | - |
dc.date.created | 2019-08-26 | - |
dc.date.created | 2019-08-26 | - |
dc.date.created | 2019-08-26 | - |
dc.date.created | 2019-08-26 | - |
dc.date.issued | 2019-07 | - |
dc.identifier.citation | IEEE ACCESS, v.7, pp.99867 - 99877 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | http://hdl.handle.net/10203/266066 | - |
dc.description.abstract | A Wi-Fi fingerprint consists of received signal strength values at a particular location along with the location information. A Wi-Fi radio map is constructed by maintaining a database of Wi-Fi fingerprints at various points in a building. A city radio map is a collection of radio maps for most buildings in a city. A highly precise citywide indoor positioning service is possible, if an accurate city radio map is available. However, tremendous time and effort are required to construct a city radio map through manual calibration. This paper proposes a method for constructing a city radio map through the crowdsourcing of Wi-Fi fingerprints from numerous smartphones. The proposed method classifies the buildings in a city into three categories: buildings in residential areas, commercial areas, and public areas. Then, it develops location-labeling techniques appropriate for the collected fingerprints from buildings in each category. Experiments conducted in the cities of Daejeon and Seoul revealed that the proposed method can construct a precise city radio map with minimal cost in a short period of time. Once city radio maps are constructed for most cities around the world, the global indoor positioning system will be completed. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | City Radio Map Construction for Wi-Fi-Based Citywide Indoor Positioning | - |
dc.type | Article | - |
dc.identifier.wosid | 000480340700002 | - |
dc.identifier.scopusid | 2-s2.0-85087349412 | - |
dc.type.rims | ART | - |
dc.citation.volume | 7 | - |
dc.citation.beginningpage | 99867 | - |
dc.citation.endingpage | 99877 | - |
dc.citation.publicationname | IEEE ACCESS | - |
dc.identifier.doi | 10.1109/ACCESS.2019.2929779 | - |
dc.contributor.localauthor | Han, Dongsoo | - |
dc.contributor.nonIdAuthor | Sahar, Ayesha | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | City radio map | - |
dc.subject.keywordAuthor | crowdsourcing | - |
dc.subject.keywordAuthor | indoor positioning | - |
dc.subject.keywordAuthor | semi-supervised machine learning | - |
dc.subject.keywordAuthor | simultaneous calibration and address mapping (SCAM) | - |
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