• DocumentCode
    87964
  • Title

    A Cloud-Storage RFID Location Tracking System

  • Author

    Yeong-Lin Lai ; Cheng, James

  • Author_Institution
    Dept. of Mechatron. Eng., Nat. Changhua Univ. of Educ., Changhua, Taiwan
  • Volume
    50
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a cloud-storage location tracking system designed and implemented with radio frequency identification (RFID) technology, wireless sensor network (WSN) technology, and a location tracking algorithm (LTA), based on cloud computing technology. This system used the signal attenuation model (SAM) in a nonopen space, received signal strength indicator (RSSI), link quality indicator (LQI), and cloud localization algorithm (CLA) for object tracking. The cloud-storage RFID location tracking system using a network node communication technique provided real-time localization and tracking for object recognition and collected the object information from sensors. The software as a service (SaaS) model was used for cloud computing to enhance user convenience. The personal homepage program (PHP) and cascading style sheets (CSS) language technologies were used for the user interface of the system. The SAM and reference tag information were used to reduce localization errors in the nonopen space. The cloud-storage RFID location tracking system achieved significant improvements in both high localization accuracy and low hardware costs.
  • Keywords
    cloud computing; radiofrequency identification; storage management; wireless sensor networks; CLA; LQI; LTA; RSSI; SAM; SaaS model; WSN technology; cascading style sheets language technologies; cloud computing technology; cloud localization algorithm; cloud-storage RFID location tracking system; link quality indicator; nonopen space; object tracking; personal homepage program; radiofrequency identification technology; received signal strength indicator; signal attenuation model; software as a service model; wireless sensor network technology; Attenuation; Cloud computing; Computational modeling; Hardware; Radiofrequency identification; Servers; Wireless sensor networks; Cloud computing; cloud storage; location tracking; radio frequency identification (RFID); wireless sensor network (WSN);
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2014.2303810
  • Filename
    6851289