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 …

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 …

Challenges and solutions in autonomous driving: A blockchain approach

Y Wang, Z Su, K Zhang, A Benslimane - IEEE Network, 2020 - ieeexplore.ieee.org
The autonomous driving era is coming with tremendous potential to revolutionize
transportation systems with improved safety, comfort, and intelligence on the road …

BloCkEd: Blockchain-based secure data processing framework in edge envisioned V2X environment

GS Aujla, A Singh, M Singh, S Sharma… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
There has been an increasing trend of moving computing activities closer to the edge of the
network, particularly in smart city applications (eg, vehicle-to-everything-V2X). Such a …

A proof-of-quality-factor (PoQF)-based blockchain and edge computing for vehicular message dissemination

F Ayaz, Z Sheng, D Tian… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Blockchain applications in vehicular networks can offer many advantages, including
decentralization and improved security. However, most of the consensus algorithms in …

DRL-based adaptive sharding for blockchain-based federated learning

Y Lin, Z Gao, H Du, J Kang, D Niyato… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Blockchain-based Federated Learning (FL) technology enables vehicles to make smart
decisions, improving vehicular services and enhancing the driving experience through a …

Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading

K Zhang, Y Mao, S Leng, Y He… - IEEE vehicular …, 2017 - ieeexplore.ieee.org
Cloud-based vehicular networks are a promising paradigm to improve vehicular services
through distributing computation tasks between remote clouds and local vehicular terminals …

A deep reinforcement learning-based resource management game in vehicular edge computing

X Zhu, Y Luo, A Liu, NN Xiong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that leverages the vehicles to
offload computation tasks to the nearby VEC server with the aim of supporting the low …

RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

Secure task offloading in blockchain-enabled mobile edge computing with deep reinforcement learning

A Samy, IA Elgendy, H Yu, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising and fast-developing paradigm that provides
cloud services at the edge of the network. MEC enables IoT devices to offload and execute …