DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Han, Dong soo | - |
dc.contributor.advisor | 한동수 | - |
dc.contributor.author | Kim, Jaewon | - |
dc.date.accessioned | 2019-09-04T02:48:06Z | - |
dc.date.available | 2019-09-04T02:48:06Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=828593&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/267111 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학부, 2018.8,[iii, 26 p. :] | - |
dc.description.abstract | WiFi fingerprinting methods are widely used in indoor positioning field, but it requires time and efforts to collect fingerprints. Crowdsourcing techniques have been actively studied to reduce the collection cost, but it still needs user's explicit involvement such as installing and operating an application. In this paper, we propose a network fingerprinting method without the explicit involvement. it collects unlabeled fingerprints including received signal strength(RSS) of probe request message(PRqM) by multiple APs. After collecting the fingerprints, we perform latent semantic analysis(LSA), singular vector decomposition(SVD) and location optimization to construct radio map. The proposed method achieved 2.93m accuracy of radio map and 3.72m accuracy of positioning. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Indoor positioning▼afingerprinting▼apassive fingerprinting▼aradio map construction | - |
dc.subject | 실내 측위▼a네트워크 측위▼a핑거프린팅 기법▼a반자율학습 기법▼a라디오 맵 | - |
dc.title | Passive WiFi fingerprinting method | - |
dc.title.alternative | 네트워크 핑거프린팅 기법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | 김재원 | - |
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