Journal Article10.1007/s10723-024-09741-x
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles
Hulin Jin,Yong-Guk Kim,Zhiran Jin,Chunyang Fan,Yonglong Xu +4 more
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TL;DR: This work evaluates the Joint Task Offloading problem by Distributed Deep Reinforcement Learning (DDRL)-Based Genetic Optimization Algorithm (GOA) and shows that the proposed approach has a substantially lower system cost when compared to current methods.
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About: This article is published in Journal of Grid Computing. The article was published on 26 Feb 2024.
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Citations
Cloud–Fog Collaborative Computing Based Task Offloading Strategy in Internet of Vehicles
Chunhua Zhu,Chong Liu,Hang Zhu,Pan Li +3 more
TL;DR: A new task offloading strategy based on cloud–fog collaborative computing is proposed to address the challenges faced by vehicle terminals in the mobile internet of vehicles due to computation-intensive and delay-sensitive tasks and dynamic changes in V2V communication links.
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Internet of vehicles task offloading based on edge computing using double deep Q-network
Xing Zhang,Jun Liang,Ning Chen,Xiang Liu,Lizhuang Tan,Peiying Zhang +5 more
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