Deep reinforcement learning-based V2V partial computation offloading in vehicular fog computing

J Shi, J Du, J Wang, J Yuan - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising paradigm that can
improve the computational capability of vehicles, where vehicles can share their idle …
被引用次数：25 相关文章 所有 2 个版本
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Federated deep reinforcement learning-based task allocation in vehicular fog computing

J Shi, J Du, J Wang, J Yuan - 2022 IEEE 95th Vehicular …, 2022 - ieeexplore.ieee.org
The advancement of Internet of Vehicles has brought out various vehicular applications, and
some of the applications are computation-intensive or delay-sensitive. Vehicular fog …
被引用次数：9 相关文章 所有 2 个版本

Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning

J Shi, J Du, J Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …
被引用次数：144 相关文章 所有 2 个版本

Many-to-many task offloading in vehicular fog computing: A multi-agent deep reinforcement learning approach

Z Wei, B Li, R Zhang, X Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a promising solution to mitigate vehicular
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …
被引用次数：29 相关文章 所有 3 个版本

Deep reinforcement learning for computation offloading and caching in fog-based vehicular networks

D Lan, A Taherkordi, F Eliassen… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
The role of fog computing in future vehicular networks is becoming significant, enabling a
variety of applications that demand high computing resources and low latency, such as …
被引用次数：18 相关文章 所有 2 个版本

Hierarchical task offloading for vehicular fog computing based on multi-agent deep reinforcement learning

Y Hou, Z Wei, R Zhang, X Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising architecture that can
make full use of computing resources of idle vehicles to increase computing capability …
被引用次数：8 相关文章

Dynamic many-to-many task offloading in vehicular fog computing: A multi-agent drl approach

Z Wei, B Li, R Zhang, X Cheng… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Confronted with the increasing computation-intensive requirements of vehicular
applications, vehicular fog computing (VFC) has emerged as the promising solution to …
被引用次数：11 相关文章

A deep learning based energy-efficient computational offloading method in Internet of vehicles

X Wang, X Wei, L Wang - China Communications, 2019 - ieeexplore.ieee.org
With the emergence of advanced vehicular applications, the challenge of satisfying
computational and communication demands of vehicles has become increasingly …
被引用次数：50 相关文章 所有 3 个版本

Resource allocation for vehicular fog computing using reinforcement learning combined with heuristic information

S Lee, SK Lee - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has emerged as a key component of smart cities. Connected
vehicles are increasingly processing real-time data to respond immediately to user requests …
被引用次数：127 相关文章 所有 2 个版本

Distributed V2V computation offloading based on dynamic pricing using deep reinforcement learning

J Shi, J Du, J Wang, J Yuan - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Vehicular computation offloading is a promising paradigm that improves the computing
capability of vehicles to support autonomous driving and various on-board infotainment …
被引用次数：37 相关文章