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    Evaluating the performance of absolute RSSI positioning algorithm-based microzoning and RFID in construction materials tracking

    227102_161035_PUB-HUM-SBE-JG-88922-1.pdf (3.823Mb)
    Access Status
    Open access
    Authors
    Truijens, M.
    Wang, Xiangyu
    Graaf, H.
    Liu, J.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Truijens, M. and Wang, X. and Graaf, H. and Liu, J. 2014. Evaluating the performance of absolute RSSI positioning algorithm-based microzoning and RFID in construction materials tracking. Mathematical Problems in Engineering. 2014: Article ID78495.
    Source Title
    Mathematical Problems in Engineering
    DOI
    10.1155/2014/784395
    ISSN
    1024-123X
    School
    School of Built Environment
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/LP130100451
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by/3.0/

    URI
    http://hdl.handle.net/20.500.11937/26382
    Collection
    • Curtin Research Publications
    Abstract

    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.

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