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Review of RFID-Based Indoor Positioning Technology

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 773))

Abstract

Traditional GPS location technology cannot work in indoor environment. In order to sum up the positioning theory of RFID positioning method and find an indoor location algorithm suitable for an indoor environment, this paper reviews the composition of RFID indoor positioning system and the location algorithms of RFID indoor positioning system. And more comprehensive study and a systematic summary are carried out. The paper provides an important basis for the selection of RFID location algorithm and positioning system under different conditions.

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References

  1. Ab Razak, A.A.W., Samsuri, F.: Active RFID-based Indoor Positioning System (IPS) for industrial environment. In: 2015 IEEE International RF and Microwave Conference (RFM 2015), pp. 89–91 (2015)

    Google Scholar 

  2. Baba, A.I., Jaeger, M., Lu, H., Pedersen, T.B., Xie, X.: Learning-based cleansing for indoor RFID data. In: SIGMOD, pp. 925–936 (2016)

    Google Scholar 

  3. Baba, A.l.: Removing object bouncing from indoor tracking data. In: 2017 ACM SE, 13–15 April 2017, Kennesaw, GA, USA, pp. 1–8 (2017)

    Google Scholar 

  4. Schindhelm, C.K.: Evaluating slam approaches for Microsoft Kinect. In: The Eighth International Conference on Wireless and Mobile Communications, pp. 402–407, June 2012

    Google Scholar 

  5. Nakano, Y., Kai, K., Izutsu, K., Tatsumi, T., Tajitsu, K.: Kinect positioning system (kps) and its potential applications. In: International Conference on Indoor Positioning and Indoor Navigation (2012)

    Google Scholar 

  6. Wang, C.-S., Chen, C.-L.: RFID-based and kinect-based indoor positioning system. IEEE (2014)

    Google Scholar 

  7. Ho, C.C., Lee, R.: Real-time indoor positioning system based on RFID Heron-Bilateration location estimation and IMU inertial-navigation location estimation. In: 2015 IEEE 39th Annual International Computers, Software and Applications Conference, pp. 481–486 (2015)

    Google Scholar 

  8. Kim, S.-C., Jeong, Y.-S., Park, S.-O.: RFID-Based Indoor Location Tracking to Ensure the Safety of the Elderly in Smart Home Environments. Springer, London (2012)

    Google Scholar 

  9. Narzullaev, A., Mohd, H.S.: Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID. In: Proceedings of the 2013 IEEE International Conference on RFID Technologies and Applications, 4–5 September 2013, Johor Bahru, Malaysia (2013)

    Google Scholar 

  10. Liu, C., Gu, Y.: Research on indoor fire location scheme of RFID based on WiFi. In: 2016 Nicograph International, pp. 116–119 (2016)

    Google Scholar 

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Acknowledgments

This work is financially supported by the National Natural Science Foundation of P. R. China (No.: 61672296, No.: 61602261), Scientific & Technological Support Project of Jiangsu Province (No.: BE2015702, BE2016185, No.: BE2016777), China Postdoctoral Science Foundation (No.: 2014M561696), Jiangsu Planned Projects for Postdoctoral Research Funds (No.: 1401005B), Postgraduate Research and Practice Innovation Program of Jiangsu Province (No.: KYCX17_0798), and NUPT STITP (No.: XYB2017556).

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Correspondence to He Xu .

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Zhu, J., Xu, H. (2019). Review of RFID-Based Indoor Positioning Technology. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2018. Advances in Intelligent Systems and Computing, vol 773. Springer, Cham. https://doi.org/10.1007/978-3-319-93554-6_62

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