Novel edge caching approach based on multi-agent deep reinforcement learning for internet of vehicles

D Zhang, W Wang, J Zhang, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Along with the development of Internet of Vehicles (IoV) and wireless technology, the usage
of applications that require low latency, such as autonomous driving and intelligent …

AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

Mobile edge computing for V2X architectures and applications: A survey

L Bréhon–Grataloup, R Kacimi, AL Beylot - Computer Networks, 2022 - Elsevier
In mobile environments, with the help of larger bandwidths and cloud computing solutions,
any task can be offloaded from a mobile user equipment to be handled remotely. However …

[HTML][HTML] Toward collaborative intelligence in IoV systems: Recent advances and open issues

S Danba, J Bao, G Han, S Guleng, C Wu - Sensors, 2022 - mdpi.com
Internet of Vehicles (IoV) technology has been attracting great interest from both academia
and industry due to its huge potential impact on improving driving experiences and enabling …

Dynamic edge computation offloading for internet of vehicles with deep reinforcement learning

L Yao, X Xu, M Bilal, H Wang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Recent developments in the Internet of Vehicles (IoV) enabled the myriad emergence of a
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …

Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems

Z Xue, C Liu, C Liao, G Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …

Toward response time minimization considering energy consumption in caching-assisted vehicular edge computing

C Tang, C Zhu, H Wu, Q Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The advent of vehicular edge computing (VEC) has generated enormous attention in recent
years. It pushes the computational resources in close proximity to the data sources and thus …

Joint resource management for mobility supported federated learning in Internet of Vehicles

G Wang, F Xu, H Zhang, C Zhao - Future Generation Computer Systems, 2022 - Elsevier
In recent years, the powerful combination of Multi-access Edge Computing (MEC) and
Artificial Intelligence (AI), called edge intelligence, promotes the development of Intelligent …

Hfdrl: An intelligent dynamic cooperate cashing method based on hierarchical federated deep reinforcement learning in edge-enabled iot

F Majidi, MR Khayyambashi… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has significantly increased the number of terminals and network
traffic. It is necessary to exploit the full capacity of the network and optimize content transfer …

Multi-Agent Caching Strategy for Spatial-Temporal Popularity in IoV

P He, L Cao, Y Cui, R Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Motivated by connected vehicles, the internet of vehicles (IoV) has a prosperous
development, thus a variety of IoV applications have emerged, which causes the dramatic …