Comparative Analysis of Machine Learning Algorithms for BLE-Based Indoor Localization System

Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a newly introduced Bluetooth Low Energy (BLE) Received Signal Strength Indicator (RSSI) dataset, specifically dev...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ayesha Ayub, Zuhairiah Zainal Abidin, Abdulraqeb Alhammadi, Naglaa F. Soliman, Muhammad Asim Khan, Nurul Bashirah Ghazali
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Access
Aiheet:	Indoor localization bluetooth low energy received signal strength indicator machine learning algorithm benchmarking localization accuracy
Linkit:	https://ieeexplore.ieee.org/document/11162504/
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