[HTML][HTML] Deep and reinforcement learning technologies on internet of vehicle (IoV) applications: Current issues and future trends

L Elmoiz Alatabani, E Sayed Ali, RA Mokhtar… - Journal of Advanced …, 2022 - hindawi.com
Recently, artificial intelligence (AI) technology has great attention in transportation systems,
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …

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 …

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

T Li, C Li, J Luo, L Song - Intelligent and Converged Networks, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure,
wireless communication networks, and central cloud platforms. Wireless recommendations …

Proactive content caching for internet-of-vehicles based on peer-to-peer federated learning

Z Yu, J Hu, G Min, H Xu, J Mills - 2020 IEEE 26th International …, 2020 - ieeexplore.ieee.org
To cope with the increasing content requests from emerging vehicular applications, caching
contents at edge nodes is imperative to reduce service latency and network traffic on the …

A survey on reinforcement learning-aided caching in heterogeneous mobile edge networks

N Nomikos, S Zoupanos, T Charalambous… - IEEE Access, 2022 - ieeexplore.ieee.org
Mobile networks experience a tremendous increase in data volume and user density due to
the massive number of coexisting users and devices. An efficient technique to alleviate this …

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 …

AI-driven energy-efficient content task offloading in cloud-edge-end cooperation networks

C Fang, X Meng, Z Hu, F Xu, D Zeng… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
To tackle a challenging energy efficiency problem caused by the growing mobile Internet
traffic, this paper proposes a deep reinforcement learning (DRL)-based green content task …

Deep reinforcement learning for cooperative edge caching in vehicular networks

Y Xing, Y Sun, L Qiao, Z Wang, P Si… - 2021 13th International …, 2021 - ieeexplore.ieee.org
In order to enable more and more multimedia content to be shared in the vehicular network,
edge caching is a promising approach to cache content near the vehicles to reduce the …

[HTML][HTML] Deep learning-based big data analytics for internet of vehicles: taxonomy, challenges, and research directions

H Chiroma, SM Abdulhamid, IAT Hashem… - Mathematical …, 2021 - hindawi.com
The Internet of Vehicles (IoV) is a developing technology attracting attention from the
industry and the academia. Hundreds of millions of vehicles are projected to be connected …

[HTML][HTML] Deep reinforcement learning for edge caching with mobility prediction in vehicular networks

Y Choi, Y Lim - Sensors, 2023 - mdpi.com
As vehicles are connected to the Internet, various services can be provided to users.
However, if the requests of vehicle users are concentrated on the remote server, the …