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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

Experience Map Creation by Virtual WLAN Location Estimation

http://hdl.handle.net/2237/9517
http://hdl.handle.net/2237/9517
79bca703-ec82-4918-94aa-e3c2dc09c23b
名前 / ファイル ライセンス アクション
mase_3.pdf mase_3.pdf (205.9 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2008-02-28
タイトル
タイトル Experience Map Creation by Virtual WLAN Location Estimation
言語 en
著者 Matsuzawa, Kenji

× Matsuzawa, Kenji

WEKO 22166

en Matsuzawa, Kenji

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Mase, Kenji

× Mase, Kenji

WEKO 22167

en Mase, Kenji

Search repository
Hirano, Yasushi

× Hirano, Yasushi

WEKO 22168

en Hirano, Yasushi

Search repository
Kajita, Shoji

× Kajita, Shoji

WEKO 22169

en Kajita, Shoji

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright © 2006 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 We propose a non-cumbersome automatic location estimation method based on an easily accessible infrastructure: the 802.11 LAN. The method consists of two phases: a map-preparation phase for virtual locations of access point (VLAP) and a target client location estimation phase using these VLAPs. Using the GPS location data of nomadic probe clients as a ground truth and its captured radio signal strengths from already deployed 802.11 access points, we can estimate VLAPs in urban areas. It may be shifted from the real location but could be more reliable since it reflects real radio characteristics. We then estimate the target client location based on the estimated VLAP map in the second phase. Five estimation methods were compared and we obtained a reasonable 23.8 meter mean accuracy using the RSSI and Density-Weighted Centroid method.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ISWC.2006.286354
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 1-4244-0598-x
ISSN
収録物識別子タイプ PISSN
収録物識別子 1550-4816
書誌情報 en : 10th IEEE International Symposium on Wearable Computers

p. 117-118, 発行日 2006
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/9517
識別子タイプ HDL
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