Title: Simulations of levelled RFID localisation for indoor moving objects

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.

DOI: 10.1504/IJRFITA.2014.063902

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: 23 Oct 2014 *

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