Artificial intelligence-empowered edge of vehicles: architecture, enabling technologies, and applications

H Ji, O Alfarraj, A Tolba - IEEE Access, 2020 - ieeexplore.ieee.org
With the proliferation of mobile devices and a wealth of rich application services, the Internet
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …

Mobile edge intelligence and computing for the internet of vehicles

J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …

A comprehensive review of computing paradigms, enabling computation offloading and task execution in vehicular networks

A Waheed, MA Shah, SM Mohsin, A Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …

Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

FiWi-enhanced vehicular edge computing networks: Collaborative task offloading

H Guo, J Zhang, J Liu - IEEE Vehicular Technology Magazine, 2018 - ieeexplore.ieee.org
Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …

RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

Computation offloading for energy and delay trade-offs with traffic flow prediction in edge computing-enabled iov

X Xu, C Yang, M Bilal, W Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An unprecedented prosperity in artificial intelligence promotes the development of Internet of
Vehicles (IoV). Assisted by edge computing, vehicles enable to offload data to edge servers …

Mobile edge computing for the internet of vehicles: Offloading framework and job scheduling

J Feng, Z Liu, C Wu, Y Ji - IEEE vehicular technology magazine, 2018 - ieeexplore.ieee.org
As an enabling technology for the Internet of Vehicles (IoV), mobile edge computing (MEC)
provides potential solutions for sharing the computation capabilities among vehicles, in …

Com-DDPG: task offloading based on multiagent reinforcement learning for information-communication-enhanced mobile edge computing in the internet of vehicles

H Gao, X Wang, W Wei, A Al-Dulaimi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …