The importance of selecting clustering parameters in VANETs: A survey

R Kaur, RK Ramachandran, R Doss, L Pan - Computer Science Review, 2021 - Elsevier
Abstract Vehicle to Everything (V2X) communication capability has drawn the attention of
various government agencies, industries, and research communities to implement the …

Vehicular fog computing: Enabling real-time traffic management for smart cities

Z Ning, J Huang, X Wang - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …

Offloading in internet of vehicles: A fog-enabled real-time traffic management system

X Wang, Z Ning, L Wang - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Fog computing has been merged with Internet of Vehicle (IoV) systems to provide
computational resources for end users, by which low latency can be guaranteed. In this …

SDN/NFV-empowered future IoV with enhanced communication, computing, and caching

W Zhuang, Q Ye, F Lyu, N Cheng… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Internet-of-Vehicles (IoV) connects vehicles, sensors, pedestrians, mobile devices, and the
Internet with advanced communication and networking technologies, which can enhance …

Imitation learning enabled task scheduling for online vehicular edge computing

X Wang, Z Ning, S Guo, L Wang - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a promising paradigm based on the Internet of vehicles
to provide computing resources for end users and relieve heavy traffic burden for cellular …

Mobility trace analysis for intelligent vehicular networks: Methods, models, and applications

C Celes, A Boukerche, AAF Loureiro - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Intelligent vehicular networks emerge as a promising technology to provide efficient data
communication in transportation systems and smart cities. At the same time, the …

Deep reinforcement learning for intelligent internet of vehicles: An energy-efficient computational offloading scheme

Z Ning, P Dong, X Wang, L Guo… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The emerging vehicular services call for updated communication and computing platforms.
Fog computing, whose infrastructure is deployed in close proximity to terminals, extends the …

A content distribution method of internet of vehicles based on edge cache and immune cloning strategy

Z Degan, W Shuo, Z Jie, Z Haoli, Z Ting, Z **umei - Ad Hoc Networks, 2023 - Elsevier
In order to better reduce the delay of content distribution and the communication cost, this
paper proposes a content distribution method of Internet of Vehicles based on edge cache …

Joint computation offloading, power allocation, and channel assignment for 5G-enabled traffic management systems

Z Ning, X Wang, JJPC Rodrigues… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to the ever-increasing requirements of delay-sensitive and mission-critical applications
in 5G, mobile edge computing is promising to react and support real-time interactive …

Fog computing empowered data dissemination in software defined heterogeneous VANETs

K Liu, K **ao, P Dai, VCS Lee, S Guo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper makes the first effort on proposing a fog computing empowered architecture
together with a dedicated scheduling algorithm for data dissemination in software defined …