Open Access
| Numéro |
Sci. Tech. Energ. Transition
Volume 80, 2025
|
|
|---|---|---|
| Numéro d'article | 48 | |
| Nombre de pages | 8 | |
| DOI | https://doi.org/10.2516/stet/2025028 | |
| Publié en ligne | 21 août 2025 | |
- Khan M.Z., Farooq M., Taha A., Qayyum A., Alqahtani F., Al Hassan A.N., Arshad K., Assaleh K., Ansari S., Usman M., Imran M.A., Abbasi Q.H. (2024) Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions, Adv. Comput. 133, 59–98. [Google Scholar]
- Nabiluzzaman M.A. (2024) Indoor positioning based ranging: a review and literature survey of UWB and Li-Fi Technologies, ELEKTRIKA J. Electr. Eng. 23, 1, 18–30. [Google Scholar]
- Zhou W.Z., Zhou Z. (2024) A combined filtering method for ZigBee indoor distance measurement, Sensors 24, 10, 3164. [Google Scholar]
- Zhang L., Hu Y., Liu Y., Li J., Ding E. (2019) WiCLoc: A novel CSI-based fingerprint localization system, Int. J. Pattern Recognit. Artif. Intell. 34, 4, 2058003. [Google Scholar]
- Ferdousmou J., Prabha M., Farouk M.D., Samiun M., Sozib H.M., Zaman A.M. (2024) IoT-enabled RFID in supply chain management: a comprehensive survey and future directions, J. Comput. Commun. 12, 11, 207–223. [Google Scholar]
- Hasan T., Nabiluzzaman M., All Noman A., Wasif S., Wahab M.A., Rahman R.M. (2024) Utilizing deep learning in chipless RFID tag detection: An investigation on high-precision mm-wave spatial tag estimation from 2D virtual imaging, J. Inf. Telecommun. 2024, 1–23. [Google Scholar]
- Murthy M.Y.B., Koteswararao A. (2024) Applications, merits and demerits of WSN with IoT: A detailed review, Int. J. Auton. Adapt. Commun. Syst. 17, 1, 68–88. [Google Scholar]
- Liu T., Liu Y., Yang L., Guo Y., Wang C. (2016) BackPos: high accuracy backscatter positioning system, IEEE Trans. Mobile Comput. 15, 3, 586–598. [Google Scholar]
- Yang Y., Chen M., Blankenship Y., Lee J., Ghassemlooy Z., Cheng J., Mao S. (2024) Positioning using wireless networks: Applications, recent progress and future challenges, IEEE J. Sel. Areas Commun. 42, 9, 2149–2217. [Google Scholar]
- Liu J., Li Y., Zhang Y., Ma S., Li G., He Y., Yi H., Liu Y., Xu X., Zhang X., He J., Wen G., Li J. (2024) Passive IoT localization technology based on SD-PDOA in NLOS and Multi-Path Environments, Comput. Mater. Continua 80, 7, 913–930. [Google Scholar]
- Wei Z., Chen J., Tang H., Zhang H. (2024) RSSI-based location fingerprint method for RFID indoor positioning: a review, Nondestruct. Test. Eval. 39, 1, 3–31. [Google Scholar]
- Tripicchio P., D’Avella S., Unetti M., Motroni A., Nepa P. (2024) A UHF passive RFID tag position estimation approach exploiting mobile robots: phase-only 3D multilateration particle filters with no unwrapping, IEEE Access 12, 58778–58788. [Google Scholar]
- Ni L.M., Liu Y.H., Lau Y.C., Patil A.P. (2004) LANDMARC: Indoor location sensing using active RFID, Wirel. Netw. 10, 6, 701–710. [Google Scholar]
- Zhao Y., Liu Y., Ni L.M. (2007) VIRE: Active RFID-based localization using virtual reference elimination, in: Proc. Int. Conf. Parallel Process. (ICPP 2007), IEEE, pp. 56–56. [Google Scholar]
- Rigall E., Wang X., Zhang S., Dong J. (2023) A fast and accurate RFID tag positioning method based on AoA hologram and hashtables, Comput. Commun. 202, 135–144. [Google Scholar]
- Azzouzi S., Cremer M., Dettmar U., Kronberger R., Knie T. (2011) New measurement results for the localization of UHF RFID transponders using an Angle of Arrival (AoA) approach, in: Proc. IEEE Int. Conf. RFID, IEEE, pp. 91–97. [Google Scholar]
- Ma H., Wang Y., Wang K., Ma Z. (2017) The optimization for hyperbolic positioning of UHF passive RFID tags, IEEE Trans. Autom. Sci. Eng. 14, 4, 1590–1600. [Google Scholar]
- Liu J., Tan X., Min H. (2011) Dual Frequency based real time location system using passive UHF RFID, in: Proc. IEEE Int. Conf. ASIC, IEEE, pp. 779–782. [Google Scholar]
- Girgensohn A., Patel M., Biehl J.T. (2024) Radio-frequency-based indoor-localization techniques for enhancing Internet-of-Things applications, Pers. Ubiquitous Comput. 28, 1, 385–401. [Google Scholar]
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