Dr YANG Lei, our Associate Professor, along with Dr Zhenlin AN, postdoctoral fellow and Ms Qingrui PAN and Mr Xiaopeng ZHAO, our PhD students, received Best Paper Award at IEEE SECON 2023.
Their research paper titled "Revisiting Backscatter Frequency Drifts for Fingerprinting RFIDs: A Perspective of Frequency Resolution" was honoured with the Best Paper Award at the 20th Annual IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON 2023).
Researchers have been aware of the potential of utilising the backscatter frequency drift (BFD) as a unique fingerprint for Radio Frequency Identification (RFID) tags for over a decade. By comparing the discrepancy between the actual backscatter frequency and the requested backscatter link frequency (BLF), it is possible to identify the RFID tags at the physical layer. However, the efficacy of this method has been limited due to a low success rate.
Addressing this issue, this paper suggests a new perspective on the low success rate – a low resolution in frequency measurement. In other words, the measurement lacks sufficient ability to effectively distinguish the slight difference in frequency in BFD, resulting in inaccurate results. To overcome this limitation, this paper introduces an innovative solution by significantly augmenting the frequency resolution to enhance the distinctiveness of BFD, thereby the accuracy of identification can be improved, especially when handling a diverse range of RFID tags.
IEEE SECON is a distinguished avenue that offers a collaborative space for scholars, industry experts, standards creators, and policymakers to discuss, exchange, and promote ideas and advancements in the realms of sensor, ad hoc, and mesh networks and systems.