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 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.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-10-03
DOI
https://doi.org/10.1109/jiot.2025.3617148
Primary Topic
RFID technology advancements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Rahul Bhattacharyya, Sanjay E. Sarma, Sobhi Alfayoumi, Marta Gatnau Sarret et al.
IEEE Internet of Things Journal
RFID technology advancements
article

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

Rahul Bhattacharyya, Sanjay E. Sarma, Sobhi Alfayoumi, Marta Gatnau Sarret, Joan Melià‐Seguí, Heyi Li
article en

Abstract

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.

IEEE Internet of Things JournalVol. 12(24)
Universitat Oberta de Catalunya (ES), Auckland University of Technology (NZ), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 60%
RFID technology advancements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Accelerating RFID Tag Counting for Low-Latency and High-Reliability Applications — Rahul Bhattacharyya, Sanjay E. Sarma, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS