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 …

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 …

Folo: Latency and quality optimized task allocation in vehicular fog computing

C Zhu, J Tao, G Pastor, Y Xiao, Y Ji… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
With the emerging vehicular applications, such as real-time situational awareness and
cooperative lane change, there exist huge demands for sufficient computing resources at the …

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 …

[HTML][HTML] IRATS: A DRL-based intelligent priority and deadline-aware online resource allocation and task scheduling algorithm in a vehicular fog network

B Jamil, H Ijaz, M Shojafar, K Munir - Ad hoc networks, 2023 - Elsevier
Cloud computing platforms support the Internet of Vehicles, but the main bottlenecks are
high latency and massive data transmission in cloud-based processing. Vehicular fog …

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 …

Fuzzy reinforcement learning for energy efficient task offloading in vehicular fog computing

S Vemireddy, RR Rout - Computer Networks, 2021 - Elsevier
Abstract Vehicular Fog Computing (VFC) has been envisioned as a potential fog computing
paradigm which aims to offload delay sensitive tasks to mobile fog vehicles instead of …

Mobile vehicles as fog nodes for latency optimization in smart cities

C Tang, X Wei, C Zhu, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The advent of 5G technologies enables highly anticipated prospect of the internet of things
in smart cities. Smart terminals become a necessity with increasing number of applications …

Adaptive offloading for time-critical tasks in heterogeneous internet of vehicles

C Liu, K Liu, S Guo, R Xie, VCS Lee… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the recent development of wireless communication, sensing, and computing
technologies, Internet of Vehicles (IoV) has attracted great attention in both academia and …

Task offloading in vehicular fog computing: State-of-the-art and open issues

AMA Hamdi, FK Hussain, OK Hussain - Future Generation Computer …, 2022 - Elsevier
Vehicular fog computing (VFC) has been proposed as a promising solution to overcome the
limitations of edge computing. In VFC, the idle resources of moving and parked vehicles can …