Distributed offloading for cooperative intelligent transportation under heterogeneous networks
S Xia, Z Yao, G Wu, Y Li - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
With the rapid advancement of the Internet of Vehicles and artificial intelligence (AI)
technologies, the cooperative intelligent transportation system (C-ITS) has drawn great …
technologies, the cooperative intelligent transportation system (C-ITS) has drawn great …
Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review
B Ravi, M Kumar, YC Hu, S Hassan… - International Journal of …, 2023 - Wiley Online Library
The rapid growth of vehicular applications has resulted in high demand for Internet
technology, which demands an unprecedented network capacity and a high quality of …
technology, which demands an unprecedented network capacity and a high quality of …
A comprehensive survey on Software as a Service (SaaS) transformation for the automotive systems
DF Blanco, F Le Mouël, T Lin, MP Escudié - IEEE Access, 2023 - ieeexplore.ieee.org
Over the last few decades, automotive embedded Information and Communication
Technology (ICT) systems have been used to enhance vehicle performance and enrich …
Technology (ICT) systems have been used to enhance vehicle performance and enrich …
A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
MOTO: Mobility-aware online task offloading with adaptive load balancing in small-cell MEC
Mobile edge computing is a promising computing paradigm enabling mobile devices to
offload computation-intensive tasks to nearby edge servers. However, within small-cell …
offload computation-intensive tasks to nearby edge servers. However, within small-cell …
Federated AI-enabled in-vehicle network intrusion detection for internet of vehicles
J Yang, J Hu, T Yu - Electronics, 2022 - mdpi.com
The integration of artificial intelligence (AI) technology into the Internet of Vehicles (IoV) has
provided smart services for intelligent connected vehicles (ICVs). However, due to gradually …
provided smart services for intelligent connected vehicles (ICVs). However, due to gradually …
Privacy-aware multiagent deep reinforcement learning for task offloading in vanet
Offloading task to roadside units (RSUs) provides a promising solution for enhancing the
real-time data processing capacity and reducing energy consumption of vehicles in the …
real-time data processing capacity and reducing energy consumption of vehicles in the …
A smart road side unit in a microeolic box to provide edge computing for vehicular applications
Deployment of technologies for Intelligent Transportation Systems (ITS) involves the
installation of Road Side Units (RSU) on the roadway and On-Board Units (OBU) inside …
installation of Road Side Units (RSU) on the roadway and On-Board Units (OBU) inside …
Toward attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement learning approach
Vehicular Ad hoc Networks (VANETs) are prone to packet drop attacks because of their
inherent distributed architecture and dynamic topology. Existing security schemes mainly …
inherent distributed architecture and dynamic topology. Existing security schemes mainly …
Multi-Agent Reinforcement Learning Based Cooperative Multitype Task Offloading Strategy for Internet of Vehicles in B5G/6G Network
Y Cui, H Li, D Zhang, A Zhu, Y Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the development of intelligent transportation, various computation intensive and delay
sensitive applications are emerging in the Internet of Vehicles (IoV). The B5G/6G (Beyond …
sensitive applications are emerging in the Internet of Vehicles (IoV). The B5G/6G (Beyond …