Cargando…
Evaluation of Deep Learning Methods in a Dual Prediction Scheme to Reduce Transmission Data in a WSN
One of the most important challenges in Wireless Sensor Networks (WSN) is the extension of the sensors lifetime, which are battery-powered devices, through a reduction in energy consumption. Using data prediction to decrease the amount of transmitted data is one of the approaches to solve this probl...
Autores principales: | Morales, Carlos R., Rangel de Sousa, Fernando, Brusamarello, Valner, Fernandes, Nestor C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588308/ https://www.ncbi.nlm.nih.gov/pubmed/34770681 http://dx.doi.org/10.3390/s21217375 |
Ejemplares similares
-
Tracking and Dynamic Tuning of a Wireless Powered Endoscopic Capsule †
por: Murliky, Lucas, et al.
Publicado: (2022) -
Exploiting the RSSI Long-Term Data of a WSN for the RF Channel Modeling in EPS Environments
por: Antayhua, Roddy A. R., et al.
Publicado: (2020) -
TPLE: A Reliable Data Delivery Scheme for On-Road WSN Traffic Monitoring
por: Wang, Rui, et al.
Publicado: (2016) -
Certain Investigation on Healthcare Monitoring for Enhancing Data Transmission in WSN
por: Swami Durai, Senthil Kumar, et al.
Publicado: (2021) -
Transmission Power Influence on WSN-Based Indoor Localization Efficiency
por: Elkenawy, Amr, et al.
Publicado: (2022)