Enhancing DBSCAN clustering with fuzzy system to improve IoT-based WBAN performance

Enhancing DBSCAN clustering with fuzzy system to improve IoT-based WBAN performance

Abstract Wireless Body Area Networks (WBANs) play a vital role in IoT-based healthcare, yet their dynamic conditions and resource constraints pose significant challenges to efficient data clustering and energy management. Traditional clustering methods, such as DBSCAN with static parameters, often f...

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Bibliographic Details
Main Authors: Mehdi Hosseinzadeh, Amir Haider, Saqib Ali, Mohammad Mohammadi, Amin Mehranzadeh, Thantrira Porntaveetus, Jan Lansky
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Wireless body area networks
Internet of things
Dynamic clustering
DBSCAN
Fuzzy system
Online Access:https://doi.org/10.1038/s41598-025-13293-9
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https://doi.org/10.1038/s41598-025-13293-9

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