Results 51 to 60 of about 2,179 (155)

Future vehicular fog computing networks

Dianxin kexue, 2020
Facing the requirements of secure and reliable vehicle driving,internet of vehicles requires high real-time information transmission and processing,high data storage and security using capacity,and high flexibility and inclusiveness of network ...
Ning HUI, Jie WU, Yiqing ZHOU, Ling LIU, Zhengang PAN   +4 more
doaj   +2 more sources

Optimized Offloading in Vehicular Edge Computing: A Game Theoretic Analysis

Journal of Information and Organizational Sciences
This paper introduces a novel approach to Vehicle Edge Computing (VEC), addressing the need for low-latency, high-reliability applications in vehicle networks. By leveraging nearby Multi-access Edge Computing (MEC) resources, VEC enhances data processing speed and reliability for applications like autonomous driving, real-time traffic management, and ...
Ait Temghart, Abdelkarim, Marwan, Mbarek, Baslam, Mohamed   +2 more
openaire   +3 more sources

Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning

World Electric Vehicle Journal
Due to developments in vehicle engineering and communication technologies, vehicular networks have become an attractive and feasible solution for the future of electric, autonomous, and connected vehicles.
Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, Imran Baig   +3 more
doaj   +1 more source

Secure data sharing scheme for VANETs based on edge computing

EURASIP Journal on Wireless Communications and Networking, 2019
The development of information technology and the abundance of problems related to vehicular traffic have led to extensive studies on vehicular ad hoc networks (VANETs) to meet various aspects of vehicles, including safety, efficiency, management, and ...
Jingwen Pan, Jie Cui, Lu Wei, Yan Xu, Hong Zhong   +4 more
doaj   +1 more source

Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing. [PDF]

Sensors (Basel), 2023
Yan R, Gu Y, Zhang Z, Jiao S.
europepmc   +1 more source

A Novel Utility Based Resource Management Scheme in Vehicular Social Edge Computing

IEEE Access, 2018
Vehicular network aims at providing intelligent transportation and ubiquitous network access. Edge computing is able to reduce the consumption of core network bandwidth and serving latency by processing the generated data at the network edge, and social ...
Fuhong Lin, Xing Lu, Ilsun You, Xianwei Zhou   +3 more
doaj   +1 more source

A Game-Based Computing Resource Allocation Scheme of Edge Server in Vehicular Edge Computing Networks Considering Diverse Task Offloading Modes. [PDF]

Sensors (Basel), 2023
Liu X, Zheng J, Zhang M, Li Y, Wang R, He Y.   +5 more
europepmc   +1 more source

Deep reinforcement learning based offloading decision algorithm for vehicular edge computing. [PDF]

PeerJ Comput Sci, 2022
Hu X, Huang Y.
europepmc   +1 more source

Vehicular Edge Computing via Deep Reinforcement Learning

CoRR, 2018
The smart vehicles construct Vehicle of Internet which can execute various intelligent services. Although the computation capability of the vehicle is limited, multi-type of edge computing nodes provide heterogeneous resources for vehicular services.When offloading the complicated service to the vehicular edge computing node, the decision should ...
Qi Qi 0001, Zhanyu Ma
openaire   +2 more sources

QoS-Aware Joint Task Scheduling and Resource Allocation in Vehicular Edge Computing. [PDF]

Sensors (Basel), 2022
Cao C, Su M, Duan S, Dai M, Li J, Li Y.
europepmc   +1 more source