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: Abdullah, Asim, Muhammad Haris, Muhammad Haris, Abdul Aziz, Omar, A. Rashid, Rozeha, Abdullah, Ahmad Shahidan
Format: Article
Language:English
Published: MDPI 2023
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Online Access:http://eprints.utm.my/106493/1/OmarAbdulAziz2023_UTMInDualSymFiADualBandWiFi.pdf
http://eprints.utm.my/106493/
http://dx.doi.org/10.3390/data8010014
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Institution: Universiti Teknologi Malaysia
Language: English

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