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 …

Intersection-based V2X routing via reinforcement learning in vehicular ad hoc networks

L Luo, L Sheng, H Yu, G Sun - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet of vehicles (IoV), routing in vehicular ad hoc
networks (VANETs) has become a popular research topic. Due to the features of the …

Voting-based decentralized consensus design for improving the efficiency and security of consortium blockchain

G Sun, M Dai, J Sun, H Yu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Since its emergence, blockchain technology has received great attention because of its
advantages in terms of decentralization, transparency, traceability, and the ability to be …

ESIA: An efficient and stable identity authentication for internet of vehicles

H Luo, J Zhang, X Li, Z Li, H Yu, G Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Decentralized, tamper-proof blockchain is regarded as a solution to a challenging
authentication issue in the Internet of Vehicles (IoVs). However, the consensus time and …

BASIC: Distributed task assignment with auction incentive in UAV-enabled crowdsensing system

Q Xu, Z Su, D Fang, Y Wu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
With the wide adoption of unmanned aerial vehicles (UAVs) in our daily life, using UAVs to
collect sensing data from the surrounding environment has become a practice. Notably …

A survey of crowdsensing and privacy protection in digital city

X Cheng, B He, G Li, B Cheng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The key pillar of developing digital city is the ubiquitous sensing of people and the
environment. Crowdsensing requires a large number of users to participate in the collection …

Participant-Quantity-Aware Online Task Allocation in Mobile Crowd Sensing

G Yang, D Guo, B Wang, X He… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Task allocation, which can be divided into offline task allocation and online task allocation, is
a significant issue in mobile crowdsensing (MCS). Unlike offline task allocation, in the online …

Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks

D Zhao, L Luo, H Yu, V Chang, R Buyya, G Sun - Cluster Computing, 2021 - Springer
Network function virtualization (NFV) has gained prominence in next-generation cloud
computing, such as the fog-based radio access network, due to their ability to support better …

Optimize the communication cost of 5G internet of vehicles through coherent beamforming technology

L Wu, J Xu, L Shi, Y Shi, W Zhou - … Communications and Mobile …, 2021 - Wiley Online Library
Edge computing, which sinks a large number of complex calculations into edge servers, can
effectively meet the requirement of low latency and bandwidth efficiency and can be …

Reinforcement Learning for Intelligent Sensor Virtualization and Provisioning in Internet of Vehicles (IoV)

S Abbes, S Rekhis - IEEE Access, 2024 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a powerful application of the Internet of Things (IoT) in the
Intelligent Transportation System (ITS). It enables device connectivity, and interaction with …