University of Cambridge > > Computer Laboratory Systems Research Group Seminar > Battery-Free, Low-Cost Sensing with RFIDs

Battery-Free, Low-Cost Sensing with RFIDs

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Srinivasan Keshav.

Passive radio frequency identification (RFID) tags are ubiquitous today due to their low cost (a few cents), relatively long communication range (∼7-11 m), ease of deployment, lack of battery, and small form factor. Hence, they are an attractive foundation for environmental sensing. Although RFID -based sensors have been studied in the research literature and are also available commercially, manufacturing them has been a technically-challenging task that is typically undertaken only by experienced researchers.

In this talk, I will first show you how even hobbyists can transform commodity RFID tags into sensors by physically altering (‘hacking’) them using COTS sensors, a pair of scissors, and clear adhesive tape. Importantly, this requires no change to commercial RFID readers. Secondly, I will present a new legacy-compatible tag reading protocol called Differential Minimum Response Threshold (DMRT) that is robust to the changes in an RF environment. Thirdly, I will show you various RFID -based sensing applications using our approach, e.g., light intensity sensing, temperature sensing, soil moisture sensing, finger input sensing, etc. Lastly, I will discuss why many novel RFID -based sensing systems are not widely used in practice, and also present some insights into designing robust RFID systems that are suitable for use in the real world.

Bio: Ju Wang is a senior researcher at Samsung AI Center, Montreal, since 2020. Before joining Samsung, he did two years postdoc at the University of Waterloo, working with Prof. Srinivasan Keshav and Prof. Omid Abari. He received his Ph.D. in Computer Science from Northwest University, China, in 2017. His research interests are Wireless Communication Systems/Networks, Internet of Things (IoT), and Artificial Intelligence.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity