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Fault Detection in Wireless Sensor Networks through the Random Forest Classifier
Wireless Sensor Networks (WSNs) are vulnerable to faults because of their deployment in unpredictable and hazardous environments. This makes WSN prone to failures such as software, hardware, and communication failures. Due to the sensor’s limited resources and diverse deployment fields, fault detect...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6480196/ https://ncbi.nlm.nih.gov/pubmed/30939764 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071568 |
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