Authors: Matthew Chan; Xiaowen Zhang
Addresses: Computer Science Department, Graduate Center, City University of New York (CUNY), 365 Fifth Avenue, New York, NY 10016, USA ' Computer Science Department, Graduate Center, City University of New York (CUNY), 365 Fifth Avenue, New York, NY 10016, USA; Computer Science Department, College of Staten Island, City University of New York (CUNY), 2800 Victory Blvd, Staten Island, NY 10314, USA
Abstract: We propose to apply the efficient, cost-effective, interference-resistant levelled RFID localisation methods to compute the estimated position of a moving entity in real time within an indoor environment. Passive types of RFID tags affixed onto the floor are selected as known reference nodes as their cost and implementation are more efficient. The results of the simulation indicate that the methods are highly accurate in the tracking of the indoor mobile entity.
Keywords: passive RFID; RFID-based localisation; indoor environments; moving objects; object localisation; levelled algorithm; simulation; RFID tags; radio frequency identification.
International Journal of Radio Frequency Identification Technology and Applications, 2014 Vol.4 No.3, pp.213 - 228
Received: 28 Aug 2012
Accepted: 11 Jun 2013
Published online: 25 Jul 2014 *