Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning

Thousands of energy-aware sensors have been placed for monitoring in a variety of scenarios, such as manufacturing, control systems, disaster management, flood control and so on, requiring time-critical energy-efficient solutions to extend their lifetime. This paper proposes reinforcement learning (...

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Detalles Bibliográficos
Autores principales: Habeeb, Fawzy, Szydlo, Tomasz, Kowalski, Lukasz, Noor, Ayman, Thakker, Dhaval, Morgan, Graham, Ranjan, Rajiv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949606/
https://www.ncbi.nlm.nih.gov/pubmed/35336544
http://dx.doi.org/10.3390/s22062375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949606/
https://www.ncbi.nlm.nih.gov/pubmed/35336544
http://dx.doi.org/10.3390/s22062375

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