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UHF RFID Channel Emulation Testbed for Wireless IoT Systems.

Md Abu Saleh Tajin1, Marko Jacovic1, Genevieve Dion2

  • 1Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.

IEEE Access : Practical Innovations, Open Solutions
|May 20, 2021
PubMed
Summary
This summary is machine-generated.

We developed an Ultra High Frequency (UHF) Radio Frequency Identification (RFID) channel emulation testbed. This system validates RFID Internet of Things (IoT) sensors and systems by simulating complex wireless environments.

Keywords:
Internet of Things (IoT)Radio Frequency Identification (RFID)Ultra High Frequency (UHF)Wireless channel emulationpassive sensors

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Area of Science:

  • Electrical Engineering
  • Computer Engineering
  • Wireless Communication

Background:

  • Radio Frequency Identification (RFID) systems are crucial for Internet of Things (IoT) applications.
  • Validating RFID systems in diverse and complex radio frequency (RF) environments presents significant challenges.
  • In-person experimentation can be infeasible due to logistical or safety constraints.

Purpose of the Study:

  • To propose and describe an Ultra High Frequency (UHF) RFID channel emulation testbed.
  • To enable simultaneous emulation of unique wireless channels for robust system design and validation.
  • To facilitate the generation of large datasets for machine learning in wireless IoT.

Main Methods:

  • Development of a UHF RFID channel emulation testbed operating in the 902-928 MHz band (US).
  • Implementation of ray-tracing-based wireless channel emulation.
  • Capability for simultaneous emulation of multiple unique wireless channels.

Main Results:

  • The testbed can emulate complex RF scenarios, overcoming limitations of in-person testing.
  • It efficiently generates substantial sensor data within short timeframes.
  • The system supports experimentation on real hardware and pre-clinical validation.

Conclusions:

  • The UHF RFID channel emulation testbed is an invaluable tool for designing and validating RFID-based IoT sensors.
  • It addresses challenges in testing complex RF environments and supports machine learning advancements.
  • The testbed offers a practical solution for hardware experimentation and system validation.