Energy Conservation for Internet of Things Tracking Applications Using Deep Reinforcement Learning

The Internet of Things (IoT)-based target tracking system is required for applications such as smart farm, smart factory, and smart city where many sensor devices are jointly connected to collect the moving target positions. Each sensor device continuously runs on battery-operated power, consuming e...

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Detalles Bibliográficos
Autores principales: Sultan, Salman Md, Waleed, Muhammad, Pyun, Jae-Young, Um, Tai-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125935/
https://www.ncbi.nlm.nih.gov/pubmed/34066766
http://dx.doi.org/10.3390/s21093261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125935/
https://www.ncbi.nlm.nih.gov/pubmed/34066766
http://dx.doi.org/10.3390/s21093261

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