eDeepRFID-IPS: Enhanced RFID Indoor Positioning with Deep Learning for Internet of Things

Author:

Alsinglawi Belal,Rabie Khaled

Publisher

Springer International Publishing

Reference23 articles.

1. Alsinglawi, B., Elkhodr, M., Nguyen, Q.V., Gunawardana, U., Maeder, A., Simoff, S.: RFID localisation for Internet of Things smart homes: a survey. arXiv preprint arXiv:1702.02311 (2017)

2. Al-Qaseemi, S.A., Almulhim, H.A., Almulhim, M.F., Chaudhry, S.R.: IoT architecture challenges and issues: Lack of standardization. In: 2016 Future Technologies Conference (FTC), pp. 731–738. IEEE (2016)

3. Jiang, H., Li, J., Zhao, P., Zeng, F., Xiao, Z., Iyengar, A.: Location privacy-preserving mechanisms in location-based services: a comprehensive survey. ACM Comput. Surv. (CSUR) 54, 1–36 (2021)

4. Sheikh, S.M., Asif, H.M., Raahemifar, K., Al-Turjman, F.: Time difference of arrival based indoor positioning system using visible light communication. IEEE Access 9, 52113–52124 (2021)

5. Alsinglawi, B., Liu, T., Nguyen, Q.V., Gunawardana, U., Maeder, A., Simoff, S.J.: Passive RFID localisation framework in smart homes healthcare settings. In: The Promise of New Technologies in an Age of New Health Challenges: Selected Papers from 5th Global Telehealth Conference 2016, Auckland, New Zealand, 1–2 November 2016, pp. 1–8 (2016)

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