Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …

Mobility-aware proactive edge caching for connected vehicles using federated learning

Z Yu, J Hu, G Min, Z Zhao, W Miao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Content Caching at the edge of vehicular networks has been considered as a promising
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …

Internet of vehicles in big data era

W Xu, H Zhou, N Cheng, F Lyu, W Shi… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …

A comprehensive survey on using fog computing in vehicular networks

K Behravan, N Farzaneh, M Jahanshahi… - Vehicular …, 2023 - Elsevier
With the advent of fog computing, its use to provide real-time services at the network's edge
has increased. However, running computationally-demanding applications in smart vehicles …

Cooperative content caching in 5G networks with mobile edge computing

K Zhang, S Leng, Y He, S Maharjan… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Along with modern wireless networks being content-centric, the demand for rich multimedia
services has been growing at a tremendous pace, which brings significant challenges to …

Deep learning serves traffic safety analysis: A forward‐looking review

A Razi, X Chen, H Li, H Wang, B Russo… - IET Intelligent …, 2023 - Wiley Online Library
This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …

From theory to experimental evaluation: Resource management in software-defined vehicular networks

RDR Fontes, C Campolo, CE Rothenberg… - IEEE …, 2017 - ieeexplore.ieee.org
Managing resources in dynamic vehicular environments is a tough task, which is becoming
more challenging with the increased number of access technologies today available in …

Toward energy-aware caching for intelligent connected vehicles

H Wu, J Zhang, Z Cai, F Liu, Y Li… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the widespread application of infotainment services in intelligent connected vehicles
(ICVs), network traffic has grown exponentially, bringing huge burden and energy …

Adaptation logic for HTTP dynamic adaptive streaming using geo-predictive crowdsourcing for mobile users

R Dubin, A Dvir, O Pele, O Hadar, I Katz… - Multimedia Systems, 2018 - Springer
The increasing demand for video streaming services with a high Quality of Experience (QoE)
has prompted considerable research on client-side adaptation logic approaches. However …

Collaborative edge caching in context-aware device-to-device networks

X Zhao, P Yuan, S Tang - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Caching content on the edge of a network can effectively localize traffic, reduce network
latency, and improve network throughput. In this paper, we propose a posteriori caching …