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A survey on the computation offloading approaches in mobile edge/cloud computing environment: a stochastic-based perspective
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 …
networks, and vehicular networks running different specific applications such as Augmented …
Task offloading in vehicular fog computing: State-of-the-art and open issues
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 …
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
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 …
overcomes storage, processing, privacy, and power limits to create an efficient and …
Delay-sensitive task offloading in vehicular fog computing-assisted platoons
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 …
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)
This paper investigates the computation offloading problem in a high mobility internet of
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …
Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning
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 …
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
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 …
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
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 …
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
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 …
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
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …
primary goals of the vehicle networking research community. Advances in computer and …