Presentation 2011-07-14
Weighted RSSI Based Indoor Positioning Method considering Radio Wave Condition
Nagisa GOMI, Ma GGIE, Ikumi WADA, Nobuyoshi KOMURO, Shiro SAKATA,
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Abstract(in English) Although Global Positioning System (GPS) employing radio information from multiple satellites has been widely used, the system is not available in indoor environments. Wireless sensor networks are considered as indoor positioning techniques instead of GPS, and many RSSI (Received Signal Strength Indicator)-used schemes have been proposed because of its low power and low cost. RSSI is, however, affected by radio emitted from other electronic devices and multipath fading caused by physical objects. The positioning accuracy of RSSI-used method is much lower than other methods using arrival time and arrival angle of radio signals. This paper proposes a method which achieves the high estimation accuracy by using communication quality determined by RSSI. In this method, nodes at stable radio conditions are selected based on the determined quality, and appropriate weights are assigned to those nodes for position estimation. Simulation results show the effectiveness of the proposed method.
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Keyword(in English) Sensor Networks / RSSI / Indoor Positioning / Weighting
Paper # USN2011-14
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Committee USN
Conference Date 2011/7/7(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Weighted RSSI Based Indoor Positioning Method considering Radio Wave Condition
Sub Title (in English)
Keyword(1) Sensor Networks
Keyword(2) RSSI
Keyword(3) Indoor Positioning
Keyword(4) Weighting
1st Author's Name Nagisa GOMI
1st Author's Affiliation Graduate School of Advanced Integration Science, Chiba University()
2nd Author's Name Ma GGIE
2nd Author's Affiliation Graduate School of Advanced Integration Science, Chiba University
3rd Author's Name Ikumi WADA
3rd Author's Affiliation NEC Communication Systems, Ltd. NCOS Laboratory
4th Author's Name Nobuyoshi KOMURO
4th Author's Affiliation Graduate School of Advanced Integration Science, Chiba University
5th Author's Name Shiro SAKATA
5th Author's Affiliation Graduate School of Advanced Integration Science, Chiba University
Date 2011-07-14
Paper # USN2011-14
Volume (vol) vol.111
Number (no) 134
Page pp.pp.-
#Pages 6
Date of Issue