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...
Salvato in:
| Autori principali: | , , , , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2025-08-01
|
| Serie: | Scientific Reports |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1038/s41598-025-13293-9 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|