Presentation 2013/3/7
Spring Model based Collaborative Indoor Position Estimation with Neighbor Mobile Terminals
XIAOPENG Liu, TAKUYA MAEKAWA,
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Abstract(in English) Nowadays, as the widespread of smart-phones that equipped with Wi-Fi modules, many researches have studied Wi-Fi based indoor positioning techniques. The existing method makes use of the Wi-Fi received signal strength (RSS)information that collected from several places indoors in advance to estimate the position of mobile device by referring to a fingerprinting algorithm. Base on the existing method above, this paper addresses a high-precision indoor positioning method by coordinating the neighbor mobile terminals. we estimate the position coordinates and distance information of the mobile terminals by using the Wi-Fi and Bluetooth sensors on them. Then, referred to these position and distance information, we utilize the spring model to adjust the estimated positions. In addition, we also performed the evaluation experiment in the real indoor environment, and the feasibility of our proposed method was well proved.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Indoor Positioning / RSS / Fingerprinting / Neighbor mobile terminal / Spring model / CoUaborative positioning
Paper # Vol.2013-MBL-65 No.10,Vol.2013-UBI-37 No.10
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Conference Information
Committee MoMuC
Conference Date 2013/3/7(1days)
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Registration To Mobile Multimedia Communications(MoMuC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spring Model based Collaborative Indoor Position Estimation with Neighbor Mobile Terminals
Sub Title (in English)
Keyword(1) Indoor Positioning
Keyword(2) RSS
Keyword(3) Fingerprinting
Keyword(4) Neighbor mobile terminal
Keyword(5) Spring model
Keyword(6) CoUaborative positioning
1st Author's Name XIAOPENG Liu
1st Author's Affiliation Osaka University Graduate School of Information Science and Technology()
2nd Author's Name TAKUYA MAEKAWA
2nd Author's Affiliation Osaka University Graduate School of Information Science and Technology
Date 2013/3/7
Paper # Vol.2013-MBL-65 No.10,Vol.2013-UBI-37 No.10
Volume (vol) vol.112
Number (no) 493
Page pp.pp.-
#Pages 8
Date of Issue