Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey

M Christopoulou, S Barmpounakis, H Koumaras… - Vehicular …, 2023 - Elsevier
The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

[HTML][HTML] An overview of mobility awareness with mobile edge computing over 6G network: Challenges and future research directions

SI Loutfi, I Shayea, U Tureli, AA El-Saleh… - Results in Engineering, 2024 - Elsevier
The evolution of science has given rise to many technologies that have changed the world.
The upcoming Six-Generation (6G) mobile network indicates a fundamental transformation …

Adaptive digital twin and multiagent deep reinforcement learning for vehicular edge computing and networks

K Zhang, J Cao, Y Zhang - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …

Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing

L Liu, J Feng, X Mu, Q Pei, D Lan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …

ESTNet: embedded spatial-temporal network for modeling traffic flow dynamics

G Luo, H Zhang, Q Yuan, J Li… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Accurate spatial-temporal prediction is a fundamental building block of many real-world
applications such as traffic scheduling and management, environment policy making, and …

Mobility aware blockchain enabled offloading and scheduling in vehicular fog cloud computing

A Lakhan, M Ahmad, M Bilal, A Jolfaei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of vehicular Internet of Things (IoT) applications, such as E-Transport,
Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …

SDN-based service mobility management in MEC-enabled 5G and beyond vehicular networks

SDA Shah, MA Gregory, S Li… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The next-generation mobile cellular networks are dedicated to providing a valued and
unique service experience by supporting ultrareliable and low-latency communication …

RADiT: Resource allocation in digital twin-driven UAV-aided internet of vehicle networks

B Hazarika, K Singh, CP Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

Networking Integrated Cloud–Edge–End in IoT: A Blockchain-Assisted Collective Q-Learning Approach

C Qiu, X Wang, H Yao, J Du, FR Yu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recently, the term “Internet of Things”(IoT) has elicited escalating attention. The flexibility,
agility, and ubiquitous accessibility have encouraged the integration between machine …

Blockchain-based cooperative computation offloading and secure handover in vehicular edge computing networks

P Lang, D Tian, X Duan, J Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Facing the requirements of intelligent vehicles for massive data processing, vehicular edge
computing (VEC) utilizes computing resources deployed on the roadside infrastructure to …