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：26 相关文章 所有 2 个版本

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

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：132 相关文章 所有 3 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：6 相关文章
[PDF] ieee.org

Contract-based computing resource management via deep reinforcement learning in vehicular fog computing

J Zhao, M Kong, Q Li, X Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle fog computing (VFC) is proposed as a solution that can significantly reduce the task
processing overload of base station during the peak time, where the vehicle as a fog node …
被引用次数：67 相关文章 所有 2 个版本

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 3 个版本

When vehicular fog computing meets autonomous driving: Computational resource management and task offloading

Z Zhou, H Liao, X Wang, S Mumtaz… - IEEE Network, 2020 - ieeexplore.ieee.org
Autonomous driving has the potential to make transportation systems safer, greener and
more efficient. To realize autonomous driving, a great deal of in-car cutting-edge …
被引用次数：39 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

Fast adaptive task offloading and resource allocation via multiagent reinforcement learning in heterogeneous vehicular fog computing

Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
被引用次数：11 相关文章

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：126 相关文章 所有 2 个版本