Artificial intelligence-empowered edge of vehicles: architecture, enabling technologies, and applications

H Ji, O Alfarraj, A Tolba - IEEE Access, 2020 - ieeexplore.ieee.org
With the proliferation of mobile devices and a wealth of rich application services, the Internet
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …

Deep reinforcement learning-based adaptive computation offloading for MEC in heterogeneous vehicular networks

H Ke, J Wang, L Deng, Y Ge… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular network needs efficient and reliable data communication technology to
maintain low latency. It is very challenging to minimize the energy consumption and data …

UAV/HAP-assisted vehicular edge computing in 6G: Where and what to offload?

A Traspadini, M Giordani, M Zorzi - 2022 Joint European …, 2022 - ieeexplore.ieee.org
In the context of 6th Generation (6G) networks, Vehicular Edge Computing (VEC) is
emerging as a promising solution to let battery-powered ground vehicles with limited …

Adaptive computation partitioning and offloading in real-time sustainable vehicular edge computing

YJ Ku, S Baidya, S Dey - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we explore the feasibility of solar-powered road-side unit (SRSU)-assisted
vehicular edge computing (VEC) system, where SRSU is equipped with small cell base …

Efficiency and fairness oriented dynamic task offloading in internet of vehicles

C Chen, H Li, H Li, R Fu, Y Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The rapid development of the Internet of Vehicles (IoV) leads to various on-board
applications including delay-sensitive and compute-intensive applications. However …

Collaborative data scheduling for vehicular edge computing via deep reinforcement learning

Q Luo, C Li, TH Luan, W Shi - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
With the development of autonomous driving, the surging demand for data communications
as well as computation offloading from connected and automated vehicles can be expected …

Traffic-aware task offloading based on convergence of communication and sensing in vehicular edge computing

Y Qi, Y Zhou, YF Liu, L Liu, Z Pan - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the explosive growth of computation-intensive and latency-sensitive vehicular
applications, limited on-board computing resources can hardly satisfy these heterogeneous …

Joint task offloading and resource allocation for multi-access edge computing assisted by parked and moving vehicles

W Fan, J Liu, M Hua, F Wu, Y Liu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the Internet of Vehicles (IoV) scenarios, vehicles are equipped with computing resources
to support vehicle-oriented IoV applications. Meanwhile, these computing resources can be …

Computation offloading and content caching and delivery in vehicular edge network: A survey

RA Dziyauddin, D Niyato, NC Luong, AAAM Atan… - Computer Networks, 2021 - Elsevier
The past decade has witnessed the widespread adoption of Cloud Computing (CC) across
automotive industries for a myriad of vehicular applications. A vehicular network that solely …

Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …