AI 算法在车联网通信与计算中的应用综述
康宇， 刘雅琼， 赵彤雨， 寿国础 - 电信科学, 2023 - infocomm-journal.com
在5G 时代, 车联网的通信和计算发展受到信息量急速增加的限制. 将AI 算法应用在车联网,
可以实现车联网通信和计算方面的新突破. 调研了AI 算法在通信安全, 通信资源分配 …
可以实现车联网通信和计算方面的新突破. 调研了AI 算法在通信安全, 通信资源分配 …
ClockIDS: A real-time vehicle intrusion detection system based on clock skew
Although intelligent connected vehicles (ICVs) can better assist drivers and improve their
driving experience, they have huge network security problems and are frequently attacked …
driving experience, they have huge network security problems and are frequently attacked …
[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …
exponentially increased. At the same time, new applications are becoming more complex …
Joint task offloading and resource optimization in noma-based vehicular edge computing: A game-theoretic drl approach
Vehicular edge computing (VEC) becomes a promising paradigm for the development of
emerging intelligent transportation systems. Nevertheless, the limited resources and …
emerging intelligent transportation systems. Nevertheless, the limited resources and …
[HTML][HTML] T3OMVP: A Transformer-Based Time and Team Reinforcement Learning Scheme for Observation-Constrained Multi-Vehicle Pursuit in Urban Area
Z Yuan, T Wu, Q Wang, Y Yang, L Li, L Zhang - Electronics, 2022 - mdpi.com
Smart Internet of Vehicles (IoVs) combined with Artificial Intelligence (AI) will contribute to
vehicle decision-making in the Intelligent Transportation System (ITS). Multi-vehicle pursuit …
vehicle decision-making in the Intelligent Transportation System (ITS). Multi-vehicle pursuit …
Computational Resources Allocation and Vehicular Application Offloading in VEC Networks
F Gu, X Yang, X Li, H Deng - Electronics, 2022 - mdpi.com
With the advances in wireless communications and the Internet of Things (IoT), various
vehicular applications such as image-aided navigation and autonomous driving are …
vehicular applications such as image-aided navigation and autonomous driving are …
[HTML][HTML] DRL-assisted delay optimized task offloading in Automotive-Industry 5.0 based VECNs
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
Online Microservice Orchestration for IoT via Multiobjective Deep Reinforcement Learning
By providing loosely coupled, lightweight, and independent services, the microservice
architecture is promising for large-scale and complex service provision requirements in the …
architecture is promising for large-scale and complex service provision requirements in the …
Federated Multi-Agent Actor-Critic Learning Task Offloading in Intelligent Logistics
Q Li, Y Cui, T Song, L Zheng - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Intelligent logistics empowered by artificial intelligence (AI) has become an inevitable trend
in the development of modern logistics, thus a convenient and efficient logistics system has …
in the development of modern logistics, thus a convenient and efficient logistics system has …
Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning
Proactive edge association is capable of improving wireless connectivity at the cost of
increased handover (HO) frequency and energy consumption, while relying on a large …
increased handover (HO) frequency and energy consumption, while relying on a large …