A survey on the computation offloading approaches in mobile edge/cloud computing environment: a stochastic-based perspective

A Shakarami, M Ghobaei-Arani, M Masdari… - Journal of Grid …, 2020 - Springer
Fast growth of produced data from deferent smart devices such as smart mobiles, IoT/IIoT
networks, and vehicular networks running different specific applications such as Augmented …

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 …

A novel secured multi-access edge computing based vanet with neuro fuzzy systems based blockchain framework

M Poongodi, S Bourouis, AN Ahmed… - Computer …, 2022 - Elsevier
In vehicle ad-hoc networks, the progression of wireless communication technology to 6G,
overcomes storage, processing, privacy, and power limits to create an efficient and …

Delay-sensitive task offloading in vehicular fog computing-assisted platoons

Q Wu, S Wang, H Ge, P Fan, Q Fan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicles in platoons need to process many tasks to support various real-time vehicular
applications. When a task arrives at a vehicle, the vehicle may not process the task due to its …

Multi-agent DRL-based Hungarian algorithm (MADRLHA) for task offloading in multi-access edge computing Internet of Vehicles (IoVs)

MZ Alam, A Jamalipour - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper investigates the computation offloading problem in a high mobility internet of
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …

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 …

Decentralized power allocation for MIMO-NOMA vehicular edge computing based on deep reinforcement learning

H Zhu, Q Wu, XJ Wu, Q Fan, P Fan… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is envisioned as a promising approach to process the
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …

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 …

Vehicle selection for c-v2x mode 4-based federated edge learning systems

X Wang, Q Wu, P Fan, Q Fan, H Zhu… - IEEE Systems …, 2024 - ieeexplore.ieee.org
As the rise of information and communication technology, the cooperative work of vehicles
has become crucial in realizing Internet of Vehicles (IoV). Federated learning (FL) is a …

A comprehensive review of computing paradigms, enabling computation offloading and task execution in vehicular networks

A Waheed, MA Shah, SM Mohsin, A Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …