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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Detalles Bibliográficos
Autores principales: Noshad, Zainib, Javaid, Nadeem, Saba, Tanzila, Wadud, Zahid, Saleem, Muhammad Qaiser, Alzahrani, Mohammad Eid, Sheta, Osama E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480196/
https://www.ncbi.nlm.nih.gov/pubmed/30939764
http://dx.doi.org/10.3390/s19071568

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480196/
https://www.ncbi.nlm.nih.gov/pubmed/30939764
http://dx.doi.org/10.3390/s19071568

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