A Cloud-Storage RFID Location Tracking System

Yeong-Lin Lai, Jay Cheng

Research output: Contribution to journalArticlepeer-review

22 Citations (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.

Original languageEnglish
Article number6851289
JournalIEEE Transactions on Magnetics
Issue number7
Publication statusPublished - 2014 Jul 1

All Science Journal Classification (ASJC) codes

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

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