Interception amelioration of Chipless RFID Tags Using Deep Learning Techniques
DOI:
https://doi.org/10.46243/jst.2023.v8.i05.pp22-32Keywords:
anechoic chamber, barcode, chipless rfid, deep Learning;, svm.Abstract
In this paper, we have proposed data-driven methods to enhance the interrogation and reliability of Chip-less Radio Frequency Identification systems. Six binary combinations of an 8-bit RFID tag are fabricated on a Rogers RT / Duroid ® 5880 substrate with a permittivity of 2.2 and a loss tangent of 0.0009 to create the model dataset. The tag's frequency response encompasses eight identifiable frequency resonances in the 3–10 GHz frequency band. By analyzing the spectral signature of the backscattered chip-less RFID tags at possible reach and orientation, two distinct datasets corresponding to ideal (within the anechoic chamber) and natural environments are prepared. The data sets are trained and evaluated using the SVM, KNN, DT and DNN approaches. A validation accuracy of 97.5% is obtained for the DNN model in actual environmental conditions in the presence of clutter and noises. The DNN model attains an accuracy of 99.5% on the ideal dataset and 97.5% on the actual dataset. The model extracted tag information up to 70cm from the interrogator, which is about a 20% increase in reading range compared to conventional interrogation methods.
References
Abdullah, A., Stroulia, E., & Nawaz, F. (2020). Efficiency Optimization in Supply Chain Using RFID Technology. 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 1–6. https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00017
Akbari, A., Mirshahi, S., & Hashemipour, M. (2015). Comparison of RFID system and barcode reader for manufacturing processes. 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 502–506. https://doi.org/10.1109/CCECE.2015.7129326
Aliasgari, J., & Karmakar, N. C. (2020). Mathematical Model of Chipless RFID Tags for Detection Improvement. IEEE Transactions on Microwave Theory and Techniques, 68(10), 4103–4115. https://doi.org/10.1109/ TMTT.2020.2996953
Babaeian, F., & Karmakar, N. C. (2018). Hybrid Chipless RFID Tags- A Pathway to EPC Global Standard. IEEE Access, 6, 67415–67426. https:// doi.org/10.1109/ACCESS.2018.2879050
Babaeian, F., & Karmakar, N. C. (2020). Time and Frequency Domains Analysis of Chipless RFID Back-Scattered Tag Reflection. IoT, 1(1), 109–127. https://doi.org/10.3390/iot1010007
Chi-Feng Chen, Ting-Yi Huang, Chi-Ping Chou, & Ruey-Beei Wu. (2006). Microstrip diplexers design with common resonator sections for compact size, but high isolation. IEEE Transactions on Microwave Theory and Techniques, 54(5), 1945–1952. https://doi. org/10.1109/TMTT.2006.873613
Costa, F., Genovesi, S., Borgese, M., Michel, A., Dicandia, F. A., & Manara, G. (2021). A Review of RFID Sensors, the New Frontier of Internet of Things. Sensors, 21(9), 3138. https://doi. org/10.3390/s21093138
Dai, T., & Dong, Y. (2020). Introduction of SVM Related Theory and Its Application Research. 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 230–233. https://doi. org/10.1109/AEMCSE50948.2020.00056
Fan, D. (2019). Electromagnetic Anechoic Chamber Design and Optimization Method. 2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 1–3. https:// doi.org/10.1109/ICMMT45702.2019.8992879
Girbau, D., Lazaro, A., & Ramos, A. (2012). Time-coded chipless RFID tags: Design, characterization and application. 2012 IEEE International Conference on RFID-Technologies and Applications (RFID-TA), 12–17. https://doi. org/10.1109/RFID-TA.2012.6404497
Herrojo, Paredes, Mata-Contreras, & Martín. (2019). Chipless-RFID: A Review and Recent Developments. Sensors, 19(15), 3385. https:// doi.org/10.3390/s19153385
Khan, A. I., & Al-Habsi, S. (2020). Machine Learning in Computer Vision. Procedia Computer Science, 167, 1444–1451. https://doi. org/10.1016/j.procs.2020.03.355
Kirschning, M., Jansen, R. H., & Koster, N. H. L. (1981). Accurate model for open end effect of microstrip lines. Electronics Letters, 17(3), 123. https://doi.org/10.1049/el:19810088
Mandal, T., Adhikary, M., & Das, S. (2019). FREQUENCY SHIFT ENCODING TECHNIQUE FOR MULTIRESONATOR BASED CHIPLESS RFID TAG. Telecommunications and Radio Engineering, 78(16), 1435–1443. https://doi. org/10.1615/TelecomRadEng.v78.i16.20
Mulloni, V., & Donelli, M. (2020). Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities. Sensors, 20(7), 2135. https://doi. org/10.3390/s20072135
Nastasiu, D., Scripcaru, R., Digulescu, A., Ioana, C., De Amorim, R., Barbot, N., Siragusa, R., Perret, E., & Popescu, F. (2020). A New Method of Secure Authentication Based on Electromagnetic Signatures of Chipless RFID Tags and Machine Learning Approaches. Sensors, 20(21), 6385. https://doi.org/10.3390/s20216385
Nijas, C. M., Deepak, U., Vinesh, P. V., Sujith, R., Mridula, S., Vasudevan, K., & Mohanan, P. (2014). Low-Cost Multiple-Bit Encoded Chipless RFID Tag Using Stepped Impedance Resonator. Athul Thomas, James Kurian: Interception amelioration of Chipless RFID Tags Using Deep Learning Techniques IEEE Transactions on Antennas and Propagation, 62(9), 4762–4770. https://doi.org/10.1109/ TAP.2014.2330586
Nijas, C. M., Dinesh, R., Deepak, U., Rasheed, A., Mridula, S., Vasudevan, K., & Mohanan, P. (2012). Chipless RFID Tag Using Multiple Microstrip Open Stub Resonators. IEEE Transactions on Antennas and Propagation, 60(9), 4429–4432. https://doi.org/10.1109/TAP.2012.2207081
Nikitin, P. V., & Rao, K. V. S. (2006). Theory and measurement of backscattering from RFID tags. IEEE Antennas and Propagation Magazine, 48(6), 212–218. https://doi.org/10.1109/ MAP.2006.323323
Patel, H. H., & Prajapati, P. (2018). Study and Analysis of Decision Tree Based Classification Algorithms. International Journal of Computer Sciences and Engineering, 6(10), 74–78. https:// doi.org/10.26438/ijcse/v6i10.7478
Preradovic, S., Balbin, I., Karmakar, N. C., & Swiegers, G. F. (2009). Multiresonator-Based Chipless RFID System for Low-Cost Item Tracking. IEEE Transactions on Microwave Theory and Techniques, 57(5), 1411–1419. https://doi. org/10.1109/TMTT.2009.2017323
Rance, O., Perret, E., Siragusa, R., & Lema??tre-Auger, P. (2017). RCS synthesis for chipless RFID: Theory and design. http://search.ebscohost.com/login
