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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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2023
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Subjects: | |
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 |