Accelerating RFID Tag Counting for Low-Latency and High-Reliability Applications

Nowadays, radio frequency identification (RFID) systems are extensively used in many applications, such as warehouse management, inventory tracking, sensing, or localization. The usage of passive RFID tags allows for low maintenance, thus reducing complexity and cost. However, in scenarios with a la...

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Detalhes bibliográficos
Autores: Gatnau Sarret, Marta, Alfayoumi, Sobhi, Li, Heyi, Bhattacharyya, Rahul, Sarma, Sanjay, Melià-Seguí, Joan
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/154547
Acesso em linha:https://hdl.handle.net/10609/154547
https://doi.org/10.1109/JIOT.2025.3617148
Access Level:acceso abierto
Palavra-chave:RFID tag counting
FSA collision
tag retransmission
latency
reliability
Descrição
Resumo:Nowadays, radio frequency identification (RFID) systems are extensively used in many applications, such as warehouse management, inventory tracking, sensing, or localization. The usage of passive RFID tags allows for low maintenance, thus reducing complexity and cost. However, in scenarios with a large population of tags, the process of discovering tags is time-consuming and may exceed the time requirements of certain applications. Rapidly anticipating the number of tags in advance, namely, RFID counting, would help at optimizing the system efficiency. This work proposes an alternative conceptualization of the counting process, embedded within a novel framework that redefines collisions as a usable resource, preserving backward compatibility and contributing to lower the system latency up to 97% with a reliability of minimum 95%, depending on the scenario. Extensive system-level simulations and experimental results demonstrate that our proposed solution successfully detects an entire population of tags within a single round, offering significant advantages for various applications, including a subsequent identification phase.