Szczegóły publikacji
Opis bibliograficzny
Improving robustness of indoor positioning by tuning IEEE 802.11 fine timing measurement parameters / Krzysztof Kurczab, Maksymilian WOJNAR, Kamil SZCZĘCH, Katarzyna KOSEK-SZOTT // IEEE Access [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2169-3536 . — 2025 — vol. 13, s. 215506–215518. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 215517, Abstr. — Publikacja dostępna online od: 2025-12-17
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165387 |
|---|---|
| Data dodania do BaDAP | 2026-01-13 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ACCESS.2025.3645690 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp | |
| Creative Commons | |
| Czasopismo/seria | IEEE Access |
Abstract
Fine timing measurement (FTM) is a feature of the IEEE 802.11 standard that enables indoor positioning. Given the high availability of Wi-Fi devices and the increasing accuracy of positioning in subsequent standard releases, FTM is poised to become a ubiquitous solution in the field. However, the densification of Wi-Fi networks and the increase in traffic volume have a deteriorating impact on FTM signaling. This problem can be countered by optimizing FTM parameters to significantly improve the performance of indoor localization in dense networks. After conducting experiments with Intel AC-8260 devices and observing limited control of FTM parameters, we study the impact of network densification on FTM’s ranging success probability by combining the ns-3 network simulator with the Optuna hyperparameter optimization framework to test a wide range of network scenarios and FTM configurations. We take advantage of the knowledge obtained to determine the optimum settings of the FTM parameters, based on the contention levels observed at the access points. We show that our solution greatly outperforms static configurations in terms of FTM’s ranging success probability. These results impact both the future development of the FTM procedure and its forthcoming implementations in real-world devices.