An approximation algorithm for joint data uploading and task offloading in IoV

H Ren, K Liu, C Liu, G Yan, Y Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates cooperative data uploading and task offloading in heterogeneous
Internet of Vehicles (IoV). Specifically, considering the characteristics that different tasks may …

A dynamic and self-adaptive network selection method for multimode communications in heterogeneous vehicular telematics

D Tian, J Zhou, Y Wang, Y Lu, H Xia… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
With the increasing demands for vehicle-to-vehicle and vehicle-to-infrastructure
communications in intelligent transportation systems, new generation of vehicular telematics …

Social big-data-based content dissemination in internet of vehicles

Z Zhou, C Gao, C Xu, Y Zhang… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
By analogy with Internet of things, Internet of vehicles (IoV) that enables ubiquitous
information exchange and content sharing among vehicles with little or no human …

Qos-balancing algorithm for optimal relay selection in heterogeneous vehicular networks

A Alnasser, H Sun, J Jiang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Intelligent Transportation System (ITS) could facilitate communications among various road
entities to improve the driver's safety and driving experience. These communications are …

Deep reinforcement learning for multi-objective resource allocation in multi-platoon cooperative vehicular networks

Y Xu, K Zhu, H Xu, J Ji - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Grouping vehicles into platoons is a promising cooperative driving scenario to enhance the
traffic safety and capacity of future vehicular networks. However, fast changing channel …

Multipath transmission workload balancing optimization scheme based on mobile edge computing in vehicular heterogeneous network

Z Haitao, D Yi, Z Mengkang, W Qin, S Xinyue… - IEEE …, 2019 - ieeexplore.ieee.org
With the rapid development of intelligent transportation, various applications which have
millisecond delay requirements appear in the vehicular heterogeneous network. Offloading …

Low-latency federated learning and blockchain for edge association in digital twin empowered 6G networks

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Emerging technologies, such as digital twins and 6th generation (6G) mobile networks, have
accelerated the realization of edge intelligence in industrial Internet of Things (IIoT). The …

FedDQ: A communication-efficient federated learning approach for Internet of Vehicles

Z Mo, Z Gao, C Zhao, Y Lin - Journal of Systems Architecture, 2022 - Elsevier
Federated Learning (FL) has achieved great success in many intelligent applications of the
Internet of Vehicles (IoV), however, a large number of vehicles and increasingly size of …

Coalition based utility and efficiency optimization for multi-task federated learning in Internet of Vehicles

Z Li, H Wu, Y Lu - Future Generation Computer Systems, 2023 - Elsevier
With the emergence of the sixth generation (6G) communication technologies, massive
infrastructures will be densely deployed and the number of data will be generated …

Intelligent task offloading for heterogeneous V2X communications

K Xiong, S Leng, C Huang, C Yuen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of autonomous driving technologies, it becomes difficult to
reconcile the conflict between ever-increasing demands for high process rate in the …