Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach

Making internet-of-things (IoT)-based applications context-aware demands large amounts of raw data to be collected, interpreted, stored, and reused or repurposed if needed from many domains and applications. Context is transient but interpreted data can be distinguished from IoT data in many aspects...

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Detalles Bibliográficos
Autores principales: Weerasinghe, Shakthi, Zaslavsky, Arkady, Loke, Seng Wai, Hassani, Alireza, Medvedev, Alexey, Abken, Amin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222717/
https://www.ncbi.nlm.nih.gov/pubmed/37430681
http://dx.doi.org/10.3390/s23104767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222717/
https://www.ncbi.nlm.nih.gov/pubmed/37430681
http://dx.doi.org/10.3390/s23104767

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