A Cloud-Storage RFID Location Tracking System

Yeong-Lin Lai, Jay Cheng

研究成果: Article同行評審

22 引文 斯高帕斯(Scopus)


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.

期刊IEEE Transactions on Magnetics
出版狀態Published - 2014 七月 1

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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