Cargando…
RAEN: Rate Adaptation for Effective Nodes in Backscatter Networks
A backscatter network, as a key enabling technology for interconnecting plentiful IoT sensing devices, can be applicable to a variety of interesting applications, e.g., wireless sensing and motion tracking. In these scenarios, the vital information-carrying effective nodes always suffer from an extr...
Autores principales: | Zhao, Jumin, Liu, Qi, Li, Dengao, Wang, Qiang, Bai, Ruiqin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230373/ https://www.ncbi.nlm.nih.gov/pubmed/35746110 http://dx.doi.org/10.3390/s22124322 |
Ejemplares similares
-
Fast and Reliable Burst Data Transmission for Backscatter Communications
por: Zhao, Jumin, et al.
Publicado: (2019) -
Channel Prediction Based on BP Neural Network for Backscatter Communication Networks
por: Zhao, Jumin, et al.
Publicado: (2020) -
New convolutional neural network model for screening and diagnosis of mammograms
por: Zhang, Chen, et al.
Publicado: (2020) -
Autodetection of J Wave Based on Random Forest with Synchrosqueezed Wavelet Transform
por: Li, Dengao, et al.
Publicado: (2018) -
A deep learning system for heart failure mortality prediction
por: Li, Dengao, et al.
Publicado: (2023)