An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis

An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis

Indoor localization systems (ILS) have become essential tools to address the challenge of locating and tracking items and individuals, such as children, the elderly, and patients with Alzheimer’s or dementia. In this study, our aim is to develop an auto-adjusting algorithm to select coeff...

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Bibliographic Details
Main Authors: Othman A. Alfahad, Husham Saied, Emad Malaekah, Ahmed Al Rashdi, Mohammed Emam, Mohsen Bakouri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
ILP
BLE
RSSI
IoT
auto-adjusting algorithm
distance estimation
Online Access:https://ieeexplore.ieee.org/document/10884739/

Internet

https://ieeexplore.ieee.org/document/10884739/

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