Results 301 to 310 of about 2,744,191 (359)

On-Glass Grid Structure and Its Application in Highly-Transparent Antenna for Internet of Vehicles

IEEE Transactions on Vehicular Technology, 2023
In this paper, a low-cost printed-circuit-board (PCB) technology-based on-glass grid structure and its application in highly-transparent antenna for the internet of vehicles are presented. Firstly, a diamond-shaped grid structure on a glass substrate for
Yu‐Xiang Sun, Di Wu, Xiaoxiao Fang, Jian Ren   +3 more
semanticscholar   +1 more source

A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving

IEEE Transactions on Intelligent Vehicles, 2023
The potential of the Internet of Vehicles (IoV) to reduce on-board system costs in autonomous vehicles through shared intelligence is considerable.
Jing Yang, Qinghua Ni, Guiyang Luo, Qi Cheng, L. Oukhellou, Shuangshuang Han   +5 more
semanticscholar   +1 more source

TRUCON: Blockchain-Based Trusted Data Sharing With Congestion Control in Internet of Vehicles

IEEE transactions on intelligent transportation systems (Print), 2023
The Internet of vehicles (IoV) has a substantial impact on traffic efficiency improvement and accidents avoidance. Due to restricted resources, vehicles must share observed data with RSUs and other vehicles to execute some time-tolerant computing tasks ...
Mingyang Yuan, Yang Xu, Cheng Zhang, Yunlin Tan, Yichuan Wang, Ju Ren, Yaoxue Zhang   +6 more
semanticscholar   +1 more source

A Survey of the Social Internet of Vehicles: Secure Data Issues, Solutions, and Federated Learning

IEEE Intelligent Transportation Systems Magazine, 2023
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.
Ling Xing, Pengcheng Zhao, Jianping Gao, Honghai Wu, Huahong Ma   +4 more
semanticscholar   +1 more source

An overview of Internet of Vehicles

China Communications, 2014
The new era of the Internet of Things is driving the evolution of conventional Vehicle Ad-hoc Networks into the Internet of Vehicles (IoV). With the rapid development of computation and communication technologies, IoV promises huge commercial interest and research value, thereby attracting a large number of companies and researchers.
Shangguang Wang, Qibo Sun, Zhihan Liu, Fangchun Yang, Jinglin Li   +4 more
openaire   +2 more sources

Multiagent Reinforcement Learning-Based Cooperative Multitype Task Offloading Strategy for Internet of Vehicles in B5G/6G Network

IEEE Internet of Things Journal, 2023
With the development of intelligent transportation, various computation intensive and delay sensitive applications are emerging in the Internet of Vehicles (IoV).
Yu-ya Cui, Honghu Li, De-gan Zhang, Aixi Zhu, Y. Li, Hao Qiang   +5 more
semanticscholar   +1 more source

Resource Allocation for Integrated Sensing and Communication in Digital Twin Enabled Internet of Vehicles

IEEE Transactions on Vehicular Technology, 2023
With the development of the sixth-generation (6G) network, virtualization remains critical. The key to future virtualization lies in the service provisioning capability of the network and the service requirements of end users, which will lead to ...
Yu Gong, Yifei Wei, Zhiyong Feng, Fei Yu, Yan Zhang   +4 more
semanticscholar   +1 more source

Evenness-Aware Data Collection for Edge-Assisted Mobile Crowdsensing in Internet of Vehicles

IEEE Internet of Things Journal, 2023
Edge-assisted vehicular crowdsensing (EAVC) system is an emerging data collection paradigm in Internet of Vehicles (IoV), where intelligent vehicles collaboratively perform complex sensing tasks under the guidance of the edge server.
Luning Liu, Zhaoming Lu, Luhan Wang, Yawen Chen, X. Wen, Yong Liu, Meiling Li   +6 more
semanticscholar   +1 more source

Mobility-Aware Proactive Edge Caching for Large Files in the Internet of Vehicles

IEEE Internet of Things Journal, 2023
By shifting the requested content to the edge in the Internet of Vehicles (IoV), edge caching is expected to be an effective solution to satisfy the low latency and high-reliability requirements of IoV users for multimedia services.
Genghua Yu, Yixin He, Jian Wu, Zhigang Chen, Jianping Pan   +4 more
semanticscholar   +1 more source

Efficient Asynchronous Federated Learning Research in the Internet of Vehicles

IEEE Internet of Things Journal, 2023
Federated learning (FL) is a distributed machine learning paradigm that ensures data do not leave local devices. Data sharing problems can be addressed by FL in untrusted environments, e.g., the Internet of Vehicles (IoV). However, FL needs to frequently
Zhigang Yang, Xuhua Zhang, Dapeng Wu, Ruyan Wang, Puning Zhang, Yuehua Wu   +5 more
semanticscholar   +1 more source