Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning

Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning

Hyperconnectivity via modern Internet of Things (IoT) technologies has recently driven us to envision “digital twin”, in which physical attributes are all embedded, and their latest updates are synchronized on digital spaces in a timely fashion. From the point of view of cyberphy...

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Bibliographic Details
Main Authors: Seunghwan Jeong, Gwangpyo Yoo, Minjong Yoo, Ikjun Yeom, Honguk Woo
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
autonomous system
sensor network
real-time data
digital twin
reinforcement learning
action embedding
Online Access:https://www.mdpi.com/1424-8220/19/20/4410

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https://www.mdpi.com/1424-8220/19/20/4410

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