CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks

Data compression is a useful method to reduce the communication energy consumption in wireless sensor networks (WSNs). Most existing neural network compression methods focus on improving the compression and reconstruction accuracy (i.e., increasing parameters and layers), ignoring the computation co...

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Detalles Bibliográficos
Autores principales: Liu, Jianlin, Chen, Fenxiong, Yan, Jun, Wang, Dianhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721250/
https://www.ncbi.nlm.nih.gov/pubmed/31394773
http://dx.doi.org/10.3390/s19163445

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721250/
https://www.ncbi.nlm.nih.gov/pubmed/31394773
http://dx.doi.org/10.3390/s19163445

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