Conference proceeding
Channel Emulation for the Characterization of Wearable RFID Systems
2021 IEEE 21st Annual Wireless and Microwave Technology Conference (WAMICON), v 2021, pp 1-5
28 Apr 2021
Abstract
Wearable sensors with RFID (Radio Frequency Identification) tags are considered to be an integral part of the upcoming revolution in the IoT (Internet of Things) sector. As with many deployed IoT sensor systems, dynamic environment conditions present challenges in reliably measuring system performance; this difficulty is enhanced due to proprietary details about the sensors, such as an RFID chip embedded within a novel knitted antenna acting as a passive sensor. A repeatable and scalable platform is necessary to evaluate the performance of the entire system in the pre-deployment stage in order to compare the predicted effects of varying components, design, and integration of sensors in an integrated IoT device. This paper demonstrates the development of an RFID channel emulation testbed in the United States ISM band (902-928 MHz). The testbed includes a commercial RFID interrogator, a custombuilt circuit board housing a commercial passive RFID chip, and a dynamic spectrum environment emulator (DYSE) for wireless channel emulation. A single link scenario was considered where the DYSE emulates the antenna gain fluctuation due to the sensing of breathing with a fabric-based RFID. Two regular and one irregular breathing scenarios were emulated, and breathing rate or anomaly was detected from post-processed RSSI (Received Signal Strength Indicator) data received by the RFID interrogator.
Metrics
8 Record Views
Details
- Title
- Channel Emulation for the Characterization of Wearable RFID Systems
- Creators
- Md Abu Saleh Tajin - Drexel University,Electrical and Computer Engineering,Philadelphia,PA,USA,19104Marko Jacovic - Drexel UniversityWilliam Mongan - Drexel UniversityKapil R Dandekar - Drexel University
- Publication Details
- 2021 IEEE 21st Annual Wireless and Microwave Technology Conference (WAMICON), v 2021, pp 1-5
- Publisher
- IEEE
- Grant note
- National Institutes of Health (10.13039/100000002) National Science Foundation (10.13039/100000001)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-85108001275
- Other Identifier
- 991019173845004721