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Editorial

RFID (Radio Frequency Identification) Localization and Application

State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
Appl. Sci. 2024, 14(13), 5932; https://doi.org/10.3390/app14135932
Submission received: 26 June 2024 / Accepted: 5 July 2024 / Published: 8 July 2024
(This article belongs to the Special Issue RFID(Radio Frequency Identification) Localization and Application)

1. Introduction

RFID (Radio Frequency Identification) technology has witnessed widespread adoption across diverse industries and sectors due to its versatility and ability to provide real-time tracking, monitoring, and data capture [1,2]. By attaching an RFID tag to an object, the RFID reader can communicate with the tag, making tagged objects identifiable and traceable for item-level intelligence. With global tag usage exceeding 44.8 billion in 2023 [3], RFID has become the most prevalent smart terminal in the era of Internet of Things.
This Special Issue of “RFID (Radio Frequency Identification) Localization and Application” highlights significant strides and emerging trends within the dynamic field of Radio Frequency Identification (RFID) technology. The ten papers featured in this issue collectively provide a comprehensive overview of the current state of RFID research, spanning diverse applications and theoretical advancements that push the boundaries of what is possible with this transformative technology, specifically including the following:
Supply Chain and Logistics [4]: RFID’s role in optimizing supply chain operations is exemplified through enhanced tracking and inventory management solutions. The digitalization of supply chains, as illustrated by its application to fresh produce, showcases RFID’s potential to improve efficiency, reduce waste, and enhance traceability.
Security and Authentication [5]: Novel approaches in RFID-based security systems highlight the integration of biometric data and sophisticated protocols to ensure robust and reliable authentication. These developments are crucial for applications requiring high security, such as access control and user verification.
Localization and Motion Capture [6,7]: Advanced techniques for real-time locating systems and wireless motion capture have been explored, with applications ranging from healthcare to smart environments. Innovations in this area promise to enhance accuracy and reduce costs, making RFID an indispensable tool for precise indoor positioning and activity sensing.
Protocol Optimization [8,9,10,11]: Efficient tag identification and communication protocols are critical for maximizing the performance of RFID systems. Research in dynamic query protocols and multi-group tag searching addresses the need for faster and more reliable identification processes, especially in complex and high-density environments.
Environmental Sensing and Simulation [12,13]: The application of RFID in environmental sensing and the development of simulation models for radio signal propagation reflect the expanding scope of RFID technology. These studies provide valuable insights into optimizing RFID system design and deployment in various settings.

2. Challenges

Despite impressive advancements, several challenges and knowledge gaps persist in the field of RFID technology. These include the following:
Scalability and Interoperability: Ensuring that RFID systems can scale effectively and interoperate with other technologies remains a critical challenge. The diverse applications of RFID necessitate solutions that are flexible and adaptable to different environments and requirements.
Security and Privacy: While significant progress has been made in RFID security, ongoing research is needed to address emerging threats and enhance privacy protections. The integration of advanced cryptographic techniques and biometric data requires continuous innovation to stay ahead of potential vulnerabilities.
Cost and Complexity: Reducing the cost and complexity of RFID systems, particularly in localization and motion capture, is essential for broader adoption. Simplified solutions that maintain high performance without the need for extensive infrastructure will drive the expansion of RFID applications.

3. Future Work

Looking ahead, several areas warrant further exploration to continue advancing RFID technology:
Integration with Emerging Technologies: The convergence of RFID with IoT, AI, and machine learning holds tremendous potential. Future research should focus on how these technologies can be synergistically integrated to create smarter, more autonomous systems.
Advanced Security Measures: Ongoing research into sophisticated security protocols and privacy-enhancing techniques is crucial. As RFID technology becomes more pervasive, ensuring robust protection against unauthorized access and data breaches will be paramount.
Environmental Impact and Sustainability: Investigating the environmental impact of RFID systems and exploring sustainable practices in their design and deployment will become increasingly important. Research into eco-friendly materials and energy-efficient operations can contribute to more sustainable RFID solutions.
Application-Specific Innovations: Tailoring RFID solutions to specific industry needs, such as healthcare, retail, and smart cities, will drive further advancements. Collaborative efforts between academia and industry can foster the development of customized applications that address unique challenges and opportunities in these sectors.

4. Conclusions

In conclusion, the papers in this Special Issue reflect the vibrant and rapidly evolving landscape of RFID technology. By addressing existing gaps and exploring new frontiers, the research presented here sets the stage for future innovations that will continue to transform industries and improve societal outcomes. We look forward to seeing how these advancements will shape the future of RFID and inspire ongoing research and development in this exciting field.

Funding

This research was funded by the National Natural Science Foundation of China grant number 62072231, the Fundamental Research Funds for the Central Universities, and the Collaborative Innovation Center of Novel Software Technology and Industrialization.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chen, X.; Liu, J.; Huang, H.; Sun, Y.E.; Zhang, X.; Chen, L.J. Revisiting Cardinality Estimation in COTS RFID Systems. In Proceedings of the ACM MobiCom, 29th Annual International Conference on Mobile Computing and Networking, Madrid, Spain, 2–6 October 2023. [Google Scholar]
  2. Yang, L.; Chen, Y.K.; Li, X.Y.; Xiao, C.W.; Li, M.; Liu, Y.H. Tagoram: Real-time Tracking of Mobile RFID Tags to High Precision using COTS Devices. In Proceedings of the ACM MobiCom, 20th Annual International Conference on Mobile Computing and Networking, Maui, HI, USA, 7–11 September 2014. [Google Scholar]
  3. RFID Journal. Available online: https://www.rfidjournal.com/shipment-of-rain-rfid-tag-chips-surged-to-44-8-billion-in-2023 (accessed on 7 July 2024).
  4. Menanno, M.; Savino, M.; Accorsi, R. Digitalization of Fresh Chestnut Fruit Supply Chain through RFID: Evidence, Benefits and Managerial Implications. Appl. Sci. 2023, 13, 5086. [Google Scholar] [CrossRef]
  5. Huang, Y.; Fu, B.; Peng, N.; Ba, Y.; Liu, X.; Zhang, S. RFID Authentication System Based on User Biometric Information. Appl. Sci. 2022, 12, 12865. [Google Scholar] [CrossRef]
  6. Tan, P.; Tsinakwadi, T.; Xu, Z.; Xu, H. Sing-Ant: RFID Indoor Positioning System Using Single Antenna with Multiple Beams Based on LANDMARC Algorithm. Appl. Sci. 2022, 12, 6751. [Google Scholar] [CrossRef]
  7. Wang, X.; Wang, X.; Yan, Y.; Liu, J.; Zhao, Z. RF-Access: Barrier-Free Access Control Systems with UHF RFID. Appl. Sci. 2022, 12, 11592. [Google Scholar] [CrossRef]
  8. Wang, X.; Tian, X.; Su, S.; Gu, R.; Hu, C.; Liu, H.; Liu, J. A Filter-Based and Parallel Unknown Tag Identification Protocol in Open RFID Systems. Appl. Sci. 2022, 12, 11349. [Google Scholar] [CrossRef]
  9. Peng, J.; Zhang, L.; Fan, M.; Zhao, N.; Lei, L.; He, Q.; Xia, J. An Admission-Control-Based Dynamic Query Tree Protocol for Fast Moving RFID Tag Identification. Appl. Sci. 2023, 13, 2228. [Google Scholar] [CrossRef]
  10. Yan, N.; Chen, H.; Lin, K.; Li, Z.; Liu, Y. Fast and Effective Tag Searching for Multi-Group RFID Systems. Appl. Sci. 2023, 13, 3540. [Google Scholar] [CrossRef]
  11. Wang, C.; Wang, Y.; Zhang, Y.; Xu, H.; Zhang, Z. Open-Set Specific Emitter Identification Based on Prototypical Networks and Extreme Value Theory. Appl. Sci. 2023, 13, 3878. [Google Scholar] [CrossRef]
  12. Straka, T.; Vojtech, L.; Neruda, M. Simulation of Radio Signal Propagation for UHF RFID Technology in an Indoor Environment Using Ray Tracing (Graphics) Method. Appl. Sci. 2022, 12, 11065. [Google Scholar] [CrossRef]
  13. Ramos, V.; Suárez, O.; Suárez, S.; Febles, V.; Aguirre, E.; Zradziński, P.; Rabassa, L.; Celaya-Echarri, M.; Marina, P.; Karpowicz, J.; et al. Electromagnetic Assessment of UHF-RFID Devices in Healthcare Environment. Appl. Sci. 2022, 12, 10667. [Google Scholar] [CrossRef]
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Liu, J. RFID (Radio Frequency Identification) Localization and Application. Appl. Sci. 2024, 14, 5932. https://doi.org/10.3390/app14135932

AMA Style

Liu J. RFID (Radio Frequency Identification) Localization and Application. Applied Sciences. 2024; 14(13):5932. https://doi.org/10.3390/app14135932

Chicago/Turabian Style

Liu, Jia. 2024. "RFID (Radio Frequency Identification) Localization and Application" Applied Sciences 14, no. 13: 5932. https://doi.org/10.3390/app14135932

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