A survey of the social internet of vehicles: Secure data issues, solutions, and federated learning
L Xing, P Zhao, J Gao, H Wu… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
The Social Internet of Vehicles (SIoV) is constructed so that the vehicle, as an entity,
generates social awareness, which leads to the social behavior of the vehicle. The SIoV has …
generates social awareness, which leads to the social behavior of the vehicle. The SIoV has …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
Federated learning-based collaborative authentication protocol for shared data in social IoV
In the Social Internet of Vehicles (SIoV), federated learning is able to significantly protect the
private data of the vehicle's client, while reducing the transmission load between entities …
private data of the vehicle's client, while reducing the transmission load between entities …
Joint resource management for mobility supported federated learning in Internet of Vehicles
G Wang, F Xu, H Zhang, C Zhao - Future Generation Computer Systems, 2022 - Elsevier
In recent years, the powerful combination of Multi-access Edge Computing (MEC) and
Artificial Intelligence (AI), called edge intelligence, promotes the development of Intelligent …
Artificial Intelligence (AI), called edge intelligence, promotes the development of Intelligent …
Communication quality prediction for Internet of vehicle (IoV) networks: an elman approach
With the help of the new generation information technology, the Internet of Vehicle (IoV)
networks have become widespread. IoV can improve the automatic driving ability, and …
networks have become widespread. IoV can improve the automatic driving ability, and …
An Efficient Caching and Offloading Resource Allocation Strategy in Vehicular Social Networks
Limited edge server resources and uneven distribution of traffic density in vehicular
networks result in problems such as unbalanced network load and high task processing …
networks result in problems such as unbalanced network load and high task processing …
Load balancing edge server placement method with QoS requirements in wireless metropolitan area networks
Mobile edge computing (MEC) is concerned with moving complex tasks from data sources to
nearby computing resources, which can reduce computing latency and remote cloud …
nearby computing resources, which can reduce computing latency and remote cloud …
Design and Analysis of an Efficient Multiresource Allocation System for Cooperative Computing in Internet of Things
By migrating tasks from the end devices to the edge or cloud, cooperative computing in the
Internet of Things can support time-sensitive, high-dimensional, and complex applications …
Internet of Things can support time-sensitive, high-dimensional, and complex applications …
Joint optimization for mec computation offloading and resource allocation in iov based on deep reinforcement learning
J Wang, Y Wang, H Ke - Mobile Information Systems, 2022 - Wiley Online Library
In the Internet of Vehicle (IoV), the limited computing capacity of vehicles hardly processes
the intensive computation tasks locally. The computation tasks can be offloaded to …
the intensive computation tasks locally. The computation tasks can be offloaded to …
Energy-efficient resource scheduling using x-cnn and cd-sbo for sdn based mec enabled iov
Vehicular networks with Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V21)
communications can benefit from Mobile Edge Computing (MEC) while sharing the …
communications can benefit from Mobile Edge Computing (MEC) while sharing the …