Fedvcp: A federated-learning-based cooperative positioning scheme for social internet of vehicles

X Kong, H Gao, G Shen, G Duan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… This work is very forward-looking in combining 5G and artificial intelligence on the Internet
of Vehicles. However, smart city, as an integrated system, relies largely on the interactions …

Green heterogeneous computing powers allocation using reinforcement learning in sdn-iov

Y Liu, D Wang, B Song, X Du - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
… Abstract—In the era of 6G-driven Internet of Vehicles (IoV), the form of services centered
on … The authors in [25] considered joint computing offloading and caching decisions and …

Task offloading strategy and scheduling optimization for internet of vehicles based on deep reinforcement learning

X Zhao, M Liu, M Li - Ad Hoc Networks, 2023 - Elsevier
… In the Internet of Vehicles (IoV) environment, intelligent vehicles will generate a lot of data. …
that our scheme is more suitable for highly dynamic Internet of Vehicles environment. …

Optimized resource allocation and trust management schemes for non-orthogonal multiple access on the internet of vehicles

NK Singh, RK Singh, DK Khare, P Jain… - Computers and Electrical …, 2022 - Elsevier
This paper considers a vehicle edge computing system that uses nonOrthogonal multiple
access technologies for task uploading and data packet downloading to solve the problems of …

A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving

K Yang, P Sun, D Yang, J Lin, A Boukerche, L Song - Ad Hoc Networks, 2024 - Elsevier
… Therefore, in the highly dynamic Internet-of-Vehicles … Accordingly, a novel joint computing
and communication … communication topology in the Internet-of-Vehicles (IoV) environment. In …

Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems

Z Xue, C Liu, C Liao, G Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… Ning et al., “Joint computing and caching in 5G-envisioned internet of vehicles: A deep
reinforcement learning-… Her research interests include internet of vehicles and Internet of Things. …

A high reliable computing offloading strategy using deep reinforcement learning for iovs in edge computing

K Wang, X Wang, X Liu - Journal of grid computing, 2021 - Springer
Internet of vehicles, in order to facilitate the efficient management of the system, this paper
designs the system architecture of the Internet of vehicles. … proposes a joint computing offload …

5G-enabled MEC: A distributed traffic steering for seamless service migration of internet of vehicles

MR Anwar, S Wang, MF Akram, S Raza… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is considered as a backbone for the 5G network. The
successive MEC network combines the networking and computation at the edge of the network …

Distributed Multi-Agent Reinforcement Learning for Collaborative Path Planning and Scheduling in Blockchain-Based Cognitive Internet of Vehicles

H Chang, Y Liu, Z Sheng - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
… The collaborative path planning and scheduling can overcome the limitations of single vehicle
intelligence to obtain a globally optimal decision strategy in cognitive internet of vehicles (…

Serial or Parallel: Reverse Offloading based MEC-assisted Joint Computing

J Zhang, L Ding, L Zhu, N Cheng… - 2023 IEEE 98th …, 2023 - ieeexplore.ieee.org
… Abstract—Mobile Edge Computing (MEC), as a promising key technology, provides tremendous
support for latency-sensitive applications in Internet of Vehicles (IoV). In this paper, we …