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

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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Bibliographic Details
Main Authors: Shakthi Weerasinghe, Arkady Zaslavsky, Seng Wai Loke, Alireza Hassani, Alexey Medvedev, Amin Abken
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
internet of things
context-awareness
adaptive context caching
reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/23/10/4767

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https://www.mdpi.com/1424-8220/23/10/4767

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