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Sensors 2009, 9(6), 4543-4558; doi:10.3390/s90604543
Article
Optimal Detection Range of RFID Tag for RFID-based Positioning System Using the k-NN Algorithm
1
School of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, Korea
2
School of Civil Engineering, Chungnam National University, Daejeon 305-764, Korea
* Author to whom correspondence should be addressed.
Received: 6 May 2009; in revised form: 3 June 2009 / Accepted: 9 June 2009 / Published: 10 June 2009
(This article belongs to the Section Physical Sensors)
Abstract: Positioning technology to track a moving object is an important and essential component of ubiquitous computing environments and applications. An RFID-based positioning system using the k-nearest neighbor (k-NN) algorithm can determine the position of a moving reader from observed reference data. In this study, the optimal detection range of an RFID-based positioning system was determined on the principle that tag spacing can be derived from the detection range. It was assumed that reference tags without signal strength information are regularly distributed in 1-, 2- and 3-dimensional spaces. The optimal detection range was determined, through analytical and numerical approaches, to be 125% of the tag-spacing distance in 1-dimensional space. Through numerical approaches, the range was 134% in 2-dimensional space, 143% in 3-dimensional space.
Keywords: ubiquitous positioning system; RFID; k-nearest neighbor; detection range
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MDPI and ACS Style
Han, S.; Kim, J.; Park, C.-H.; Yoon, H.-C.; Heo, J. Optimal Detection Range of RFID Tag for RFID-based Positioning System Using the k-NN Algorithm. Sensors 2009, 9, 4543-4558.
AMA StyleHan S., Kim J., Park C.-H., Yoon H.-C., Heo J. Optimal Detection Range of RFID Tag for RFID-based Positioning System Using the k-NN Algorithm. Sensors. 2009; 9(6):4543-4558.
Chicago/Turabian StyleHan, Soohee; Kim, Junghwan; Park, Choung-Hwan; Yoon, Hee-Cheon; Heo, Joon. 2009. "Optimal Detection Range of RFID Tag for RFID-based Positioning System Using the k-NN Algorithm." Sensors 9, no. 6: 4543-4558.
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