Task Offloading Strategy Based on Reinforcement Learning Computing in Edge Computing Architecture of Internet of Vehicles

Task Offloading Strategy Based on Reinforcement Learning Computing in Edge Computing Architecture of Internet of Vehicles

With the rapid increase of vehicles, the explosive growth of data flow and the increasing shortage of spectrum resources, the performance of existing task offloading scheme is poor, and the on-board terminal can't achieve efficient computing. Therefore, this article proposes a task offload stra...

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Bibliographic Details
Main Authors: Kun Wang, Xiaofeng Wang, Xuan Liu, Alireza Jolfaei
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Internet of Vehicles
mobile edge computing
task offloading
reinforcement learning
privacy security
Online Access:https://ieeexplore.ieee.org/document/9198893/

Internet

https://ieeexplore.ieee.org/document/9198893/

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