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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 784395, 8 pages
Research Article

Evaluating the Performance of Absolute RSSI Positioning Algorithm-Based Microzoning and RFID in Construction Materials Tracking

1Woodside Energy Ltd., School of Built Environment, Curtin University, Perth, WA 6845, Australia
2Curtin-Woodside Oil, Gas & LNG Construction and Project Management, Australasian Joint Research Centre for Building Information Modelling (BIM), Curtin University, Perth, WA 6845, Australia
3Department of Housing and Interior Design, Kyung Hee University, Seoul 130-701, Republic of Korea
4Industrial Automation Group MD, Joondalup Business Park, Perth, WA 6027, Australia
5College of Science, China University of Petroleum, Beijing 102249, China

Received 24 February 2014; Accepted 27 April 2014; Published 21 May 2014

Academic Editor: Changzhi Wu

Copyright © 2014 M. Truijens et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


High accuracy of construction materials tracking with radio frequency identification technology (RFID) is challenging to achieve. The microzoning method consists essentially of an absolute received signal strength indication (RSSI) positioning algorithm on the basis of measuring the distance of tag from antennas base. In this paper, we analyse and examine the effects of microzoning method on the performance of RFID tags. A system was set up whereby RFID tags and antennas with the microzoning method were developed and studied. The performance of the tag antennas was studied with the practical read-range measurements. The study results showed that this absolute algorithm worked reliably and was suitable for RFID applications requiring identification of positions of onsite materials and components. The results also showed that the algorithm achieved a large read range and high accuracy. The study investigates the RFID solutions for Australian LNG (liquefied natural gas) industry and was initiated by the collaboration between Woodside Energy, Curtin University, and Industrial Automation Group Pty Ltd.