article · Sensors · 2023

A Novel Optimized iBeacon Localization Algorithm Modeling

Cited by 3Open access

Abstract

The conventional methods for indoor localization rely on technologies such as RADAR, ultrasonic, laser range localization, beacon technology, and others. Developers in the industry have started utilizing these localization techniques in iBeacon systems that use Bluetooth sensors to measure the object's location. The iBeacon-based system is appealing due to its low cost, ease of setup, signaling, and maintenance; however, with current technology, it is challenging to achieve high accuracy in indoor object localization or tracking. Furthermore, iBeacons' accuracy is unsatisfactory, and they are vulnerable to other radio signal interference and environmental noise. In order to address those challenges, our study focuses on the development of error modeling algorithms for signal calibration, uncertainty reduction, and interfered noise elimination. The new error modeling is developed on the Curve Fitted Kalman Filter (CFKF) algorithms. The reliability, accuracy, and feasibility of the CFKF algorithms are tested in the experiments. The results significantly show the improvement of the accuracy and precision with this novel approach for iBeacon localization.

Cite this paper

APA 7

Yu, Z., Liu, C.-C., & Shi, J. (2023). A Novel Optimized iBeacon Localization Algorithm Modeling. Sensors, 23(14), 6560. https://doi.org/10.3390/s23146560

MLA 9

Yu, Zhengyu, et al. “A Novel Optimized iBeacon Localization Algorithm Modeling.” Sensors, vol. 23, no. 14, 2023, p. 6560, https://doi.org/10.3390/s23146560.

Chicago

Yu, Zhengyu, Chun-Chu Liu, and Jiajia Shi. 2023. “A Novel Optimized iBeacon Localization Algorithm Modeling.” Sensors 23 (14): 6560. https://doi.org/10.3390/s23146560.

Harvard

Yu, Z., Liu, C.-C. and Shi, J. (2023) ‘A Novel Optimized iBeacon Localization Algorithm Modeling’, Sensors, 23(14), p. 6560. Available at: https://doi.org/10.3390/s23146560.

BibTeX

@article{yu2023novel,
  title = {{A Novel Optimized iBeacon Localization Algorithm Modeling}},
  author = {Yu, Zhengyu and Liu, Chun-Chu and Shi, Jiajia},
  journal = {Sensors},
  volume = {23},
  number = {14},
  pages = {6560},
  year = {2023},
  doi = {10.3390/s23146560}
}

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