UTMInDualSymFi: A Dual-Band Wi-Fi Dataset for Fingerprinting Positioning in Symmetric Indoor Environments

UTMInDualSymFi: A Dual-Band Wi-Fi Dataset for Fingerprinting Positioning in Symmetric Indoor Environments

Recent studies on indoor positioning using Wi-Fi fingerprinting are motivated by the ubiquity of Wi-Fi networks and their promising positioning accuracy. Machine learning algorithms are commonly leveraged in indoor positioning works. The performance of machine learning based solutions are dependent...

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Bibliographic Details
Main Authors: Asim Abdullah, Muhammad Haris, Omar Abdul Aziz, Rozeha A. Rashid, Ahmad Shahidan Abdullah
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Data
Subjects:
Wi-Fi dataset
indoor positioning
fingerprinting
dual-band
symmetric environments
raw data
Online Access:https://www.mdpi.com/2306-5729/8/1/14

Internet

https://www.mdpi.com/2306-5729/8/1/14

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