Abstract
Knowledge of the correct location of an access point (AP) is of vital importance within a wireless ecosystem. Techniques are presented herein that support a new AP location identification method that uses prior model calibrations and machine learning (ML) techniques to detect an AP’s location using either received signal strength indicator (RSSI) data or fine time measurement (FTM) protocol data. Among other things, the new method is faster and more accurate than conventional trilateration methods.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Maluf, David; V Nguyen, Khanh; Tyagi, Naveen; and Henry, Jerome, "AUTOMATIC DETECTION OF ACCESS POINT LOCATION USING MACHINE LEARNING AND PRIOR MODEL CALIBRATION", Technical Disclosure Commons, (September 26, 2023)
https://www.tdcommons.org/dpubs_series/6277