DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing

DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing

Hardware bottlenecks can throttle smart device (SD) performance when executing computation-intensive and delay-sensitive applications. Hence, task offloading can be used to transfer computation-intensive tasks to an external server or processor in Mobile Edge Computing. However, in this approach, th...

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Bibliographic Details
Main Authors: Ducsun Lim, Wooyeob Lee, Won-Tae Kim, Inwhee Joe
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
computation offloading
double dueling deep Q-network
energy consumption
mobile edge computing (MEC)
resource management
reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/22/23/9212

Internet

https://www.mdpi.com/1424-8220/22/23/9212

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