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Proof of Concept of Indoor Location System Using Long RFID Readers and Passive Tags

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Data Intelligence and Cognitive Informatics

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

The paper proposes a system for persons and objects location with the use of long radio-frequency identifications (RFIDs) readers. In order to investigate all aspects of the proposed location system, several key elements had to be analyzed, including the distance from which the tagged objects and the possibility of using more than one tag within one RFID range at the same time. When designing the system, it is also necessary to take into account all key elements, but in such a way as to maximize the system range and capacity and minimize its costs, while adapting the system exactly to the requirements. The paper investigates such a system, study its capability and gives some recommendations.

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References

  1. Zaman Tanim MM (2016) How does passive RFID works, briefly explained. Technical report

    Google Scholar 

  2. Smith TF, Waterman MS (1981) Identification of common molecular subsequences. J Mol Biol 147:195–197

    Article  Google Scholar 

  3. May P, Ehrlich HC, Steinke T (2006) ZIB structure prediction pipeline: composing a complex biological workflow through web services. In: Nagel WE, Walter WV, Lehner W (eds) Euro-Par 2006, vol 4128. LNCS. Springer, Heidelberg, pp 1148–1158

    Google Scholar 

  4. Foster I, Kesselman C (1999) The grid: blueprint for a new computing infrastructure. Morgan Kaufmann, San Francisco

    Google Scholar 

  5. Foster I, Kesselman C, Nick J, Tuecke S (2002) The physiology of the grid: an open grid services architecture for distributed systems integration. Technical report, Global Grid Forum

    Google Scholar 

  6. National Center for Biotechnology Information. http://www.ncbi.nlm.nih.gov

  7. Kitayoshi H, Sawaya K (2005) Long range passive RFID-tag for sensor networks. In: VTC-2005-Fall. 2005 IEEE 62nd vehicular technology conference, IEEE Press, Dallas, pp 2696–2700

    Google Scholar 

  8. Hou X, Arslan T (2017) Monte Carlo localization algorithm for indoor positioning using Bluetooth low energy devices. In: 2017 international conference on localization and GNSS (ICL-GNSS), Nottingham, pp 1–6

    Google Scholar 

  9. Radoi IE, Cirimpei D, Radu V (2019) Localization systems repository: a platform for open-source localization systems and datasets

    Google Scholar 

  10. Radoi IE (2019) A platform for open-source localization systems and dataset. In: International conference on indoor positioning and indoor navigation (IPIN), Pisa, pp 1–8

    Google Scholar 

  11. El-Hadidy M, Yasser YESB (2019) Realistic chipless RFID tag modeling, mathematical framework and 3D EM simulation. In: 2019 IEEE international conference on RFID technology and applications (RFID-TA), Pisa, pp 201–206

    Google Scholar 

  12. Alvarez-Narciandi G, Laviada J, Pino MR, Las-Heras F (2017) 3D location system based on attitude estimation with RFID technology. In: 2017 IEEE international conference on RFID technology & application (RFID-TA), Warsaw, pp 80–82

    Google Scholar 

  13. Czajkowski K, Fitzgerald S, Foster I, Kesselman C (2001) Grid information services for distributed resource sharing. In: 10th IEEE international symposium on high performance distributed computing. IEEE Press, New York, pp 181–184

    Google Scholar 

  14. Ahmad U, Poon K, Altayyari AM, Almazrouei MR (2019) A low-cost localization system for warehouse inventory management. In: 2019 international conference on electrical and computing technologies and applications (ICECTA), Ras Al Khaimah, pp 1–5

    Google Scholar 

  15. Madany YM, Mohamed DAE, Ali WAE, Emara RF (2017) Modelling and simulation of indoor reverse RFID tag localization method based on mobile antenna reader position. In: 2017 UKSim-AMSS 19th international conference on computer modelling & simulation (UKSim), Cambridge, pp 235–239

    Google Scholar 

  16. Xu C, Zhao Y, Zhang Y (2009) Localization technology in wireless sensor networks based on UWB. In: 2009 international conference on wireless networks and information systems, Washington, pp 35–37

    Google Scholar 

  17. Zhi-yuan Z, He R, Jie T (2010) A method for optimizing the position of passive UHF RFID tags. In: 2010 IEEE international conference on RFID-technology and applications, Guangzhou, pp 92–95

    Google Scholar 

  18. Rao KVS, Nikitin PV, Lam SF (2005) Antenna design for UHF RFID tags: a review and a practical application. IEEE Trans Antennas Propag 53(12):3870–3876

    Article  Google Scholar 

  19. Wei D, Hung W, Wu KL (2016) A real time RFID locationing system using phased array antennas for warehouse management. In: 2016 IEEE international symposium on antennas and propagation (APSURSI), Fajardo, pp 1153–1154

    Google Scholar 

  20. Hislop G, Lekime D, Drouguet M, Craeye C (2010) A prototype 2D direction finding system with passive RFID tags. In: Proceedings of the fourth European conference on antennas and propagation, Barcelona, pp 1–5

    Google Scholar 

  21. WMS OPTIPROMAG, https://www.optidata.pl/en/oprogramowanie/wms-optipromag/

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Acknowledgements

Authors would like to thank K. Konwerski, M. Lewalski, M. Sułkowski for their support during the study.

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Correspondence to Jerzy Demkowicz .

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Łoziński, P., Demkowicz, J. (2023). Proof of Concept of Indoor Location System Using Long RFID Readers and Passive Tags. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Izonin, I. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-6004-8_51

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