An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles

X Xu, Y Xue, L Qi, Y Yuan, X Zhang, T Umer… - Future Generation …, 2019 - Elsevier
The Internet of connected vehicles (IoV) is employed to collect real-time traffic conditions for
transportation control systems, and the computing tasks are available to be offloaded from …

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 …

Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks

L Liu, M Zhao, M Yu, MA Jan, D Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

Task offloading for vehicular edge computing with edge-cloud cooperation

F Dai, G Liu, Q Mo, WH Xu, B Huang - World Wide Web, 2022 - Springer
Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …

Digital twin-assisted resource allocation framework based on edge collaboration for vehicular edge computing

SR Jeremiah, LT Yang, JH Park - Future Generation Computer Systems, 2024 - Elsevier
Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

Cnn partitioning and offloading for vehicular edge networks in web3

X Xu, S Tang, L Qi, X Zhou, F Dai… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Web3, an emerging blockchain-based decentralized network, grants users ownership and
enhances the collaboration among devices under monitoring. Benefiting from …

FiWi-enhanced vehicular edge computing networks: Collaborative task offloading

H Guo, J Zhang, J Liu - IEEE Vehicular Technology Magazine, 2018 - ieeexplore.ieee.org
Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …

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 …

Blockchain empowered cooperative authentication with data traceability in vehicular edge computing

H Liu, P Zhang, G Pu, T Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The dynamic environment due to traffic mobility and wireless communication from/to
vehicles make identity authentication and trust management for privacy preservation based …

Blockchain and federated learning for collaborative intrusion detection in vehicular edge computing

H Liu, S Zhang, P Zhang, X Zhou… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The vehicular networks constructed by interconnected vehicles and transportation
infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the …