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A Bit-Tracking Knowledge-Based Query Tree for RFID Tag Identification in IoT Systems.

Yuan-Cheng Lai1, Shan-Yung Chen1, Zelalem Legese Hailemariam1

  • 1Department of Information Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan.

Sensors (Basel, Switzerland)
|May 20, 2022
PubMed
Summary

This study introduces Bit-tracking Knowledge-based Query Tree (BKQT) to resolve RFID tag collisions in Internet of Things (IoT) systems. BKQT significantly reduces identification time by efficiently handling signal collisions.

Keywords:
RFIDanti-collision protocolbit trackingknowledge-basedquery tree

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Information Technology

Background:

  • Internet of Things (IoT) systems utilize numerous RFID tags for device identification.
  • Simultaneous responses from multiple RFID tags lead to signal collisions.
  • Collisions necessitate retransmissions, increasing communication overhead and identification time.

Purpose of the Study:

  • To present a novel protocol, Bit-tracking Knowledge-based Query Tree (BKQT), for efficient RFID tag identification in IoT.
  • To address and mitigate the issue of signal collisions among multiple RFID tags.

Main Methods:

  • BKQT employs a knowledge-based approach, storing possible tag IDs in a k-tree.
  • Bit tracking is utilized to pinpoint collided bit locations within collision slots.
  • The protocol constructs a query tree with predefined actions for collision scenarios.

Main Results:

  • BKQT demonstrated significant improvements in identification time compared to existing protocols.
  • Improvements of 44.3% over KQT, 46.4% over H-QT, and 25.1% over QTSC were observed.
  • Simulations validated the efficiency of BKQT in resolving tag collisions.

Conclusions:

  • BKQT offers a more efficient method for identifying multiple RFID tags in IoT environments.
  • The integration of knowledge and bit tracking effectively reduces identification latency.
  • This protocol enhances the performance of RFID systems by minimizing collision-related delays.