Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65315
Title: Accurate RFID localization algorithm with particle swarm optimization based on reference tags
Authors: Li, JQ
Zhang, SP
Yang, L 
Fu, XH
Ming, Z
Feng, G
Keywords: Correction factor
Indoor location
PSO
Reference tags
Issue Date: 2016
Publisher: IOS Press
Source: Journal of intelligent and fuzzy systems, 2016, v. 31, no. 5, p. 2697-2706 How to cite?
Journal: Journal of intelligent and fuzzy systems 
Abstract: RFID technology has been widely used for object tracking in indoor environment due to their low cost and convenience for deployment. Existing RFID localization approaches rely on signal strength to measure the distance between RFID reader and tags. However, because of the environmental complexity and inferences, the measurement of distance by signal strength is not accurate, which causes large error in localization. In this paper we develop a novel algorithm to improve the RFID localization accuracy. Our algorithm is based on particle swarm optimization. More importantly, we add reference tags in the deployment, and design a parameter named Correction Factor in PSO to measure the distances more accurately by signal strength. The result shows that compared with the previous method without the correction factor, our proposed approach can increase the accuracy by 50. This method has good application prospect in equipment management.
URI: http://hdl.handle.net/10397/65315
ISSN: 1064-1246
EISSN: 1875-8967
DOI: 10.3233/JIFS-169109
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