Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities

H Zhou, W Xu, J Chen, W Wang - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
To enable large-scale and ubiquitous automotive network access, traditional vehicle-to-
everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing …

Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

Dependency-aware task scheduling in vehicular edge computing

Y Liu, S Wang, Q Zhao, S Du, A Zhou… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this article, we study the problem of task scheduling …

Heterogeneous vehicular networking: A survey on architecture, challenges, and solutions

K Zheng, Q Zheng, P Chatzimisios… - … surveys & tutorials, 2015 - ieeexplore.ieee.org
With the rapid development of the Intelligent Transportation System (ITS), vehicular
communication networks have been widely studied in recent years. Dedicated Short Range …

Energy-latency tradeoff for dynamic computation offloading in vehicular fog computing

R Yadav, W Zhang, O Kaiwartya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes,
reduces service latency during peak times, and saves energy for battery-powered cloudlet …

Architectural design alternatives based on cloud/edge/fog computing for connected vehicles

H Wang, T Liu, BG Kim, CW Lin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
As vehicles playing an increasingly important role in people's daily life, requirements on
safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can …

Security, privacy, and fairness in fog-based vehicular crowdsensing

J Ni, A Zhang, X Lin, XS Shen - IEEE Communications …, 2017 - ieeexplore.ieee.org
Fog-based vehicular crowdsensing is an emerging paradigm where vehicles use onboard
sensors to collect and share data with the aim of measuring phenomena of common interest …

Information-centric networking for connected vehicles: a survey and future perspectives

M Amadeo, C Campolo… - IEEE Communications …, 2016 - ieeexplore.ieee.org
In the connected vehicle ecosystem, a high volume of information-rich and safety-critical
data will be exchanged by roadside units and onboard transceivers to improve the driving …