Stochastic modeling for intelligent software-defined vehicular networks: A survey
Digital twins and the Internet of Things (IoT) have gained significant research attention in
recent years due to their potential advantages in various domains, and vehicular ad hoc …
recent years due to their potential advantages in various domains, and vehicular ad hoc …
Multi-Agent Reinforcement Learning-Based Trading Decision-Making in Platooning-Assisted Vehicular Networks
Utilizing the stable underlying and cloud-native functions of vehicle platoons allows for
flexible resource provisioning in environments with limited infrastructure, particularly for …
flexible resource provisioning in environments with limited infrastructure, particularly for …
Mean-field reinforcement learning for decentralized task offloading in vehicular edge computing
Abstract Vehicular Edge Computing (VEC) is a promising paradigm for providing low-latency
and high-reliability services in the Internet of Vehicles (IoV). The increasing number of …
and high-reliability services in the Internet of Vehicles (IoV). The increasing number of …
De-Duplicated Hierarchical Offloading in Vehicular Edge Computing With Task Dependencies
Z Liao, Z Shao, B Zheng… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In Vehicular Edge Computing (VEC), most tasks require high real-time and energy
requirements, but the mobility of vehicles and the difficulty of intelligent computing make it …
requirements, but the mobility of vehicles and the difficulty of intelligent computing make it …
Artificial Intelligence Inspired Task Offloading and Resource Orchestration in Intelligent Transportation Systems
Abstract Internet of Vehicles (IoV) applications require the support of communication,
caching, and computation (3C) resources to offload the computation-intensive tasks and for …
caching, and computation (3C) resources to offload the computation-intensive tasks and for …
A Deep Reinforcement Learning Approach for Dependent Task Offloading in Multi-Access Edge Computing
The resource-constrained edge devices are struggling with the rising computational
demands of modern user applications with many dependent tasks. In this paper, we …
demands of modern user applications with many dependent tasks. In this paper, we …
Joint Spectrum Sharing and V2V/V2I Task Offloading for Vehicular Edge Computing Networks Based on Coalition Formation Game
M Huang, Z Shen, G Zhang - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) enables vehicles to perform computation-intensive and
delay-sensitive tasks through task offloading. Previous works either focused on task …
delay-sensitive tasks through task offloading. Previous works either focused on task …
Location-Aware Reliable Task Cooperative-Computation Scheme Under Fog Computing-Based IoVs
K Gu, Z Liu, W Jia - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Although many existing schemes were proposed to solve the time delay, energy
consumption and system architecture issues of task offloading in internet of vehicles (IoVs) …
consumption and system architecture issues of task offloading in internet of vehicles (IoVs) …
[HTML][HTML] Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system
Recently, several edge deployment types, such as on-premise edge clusters, Unmanned
Aerial Vehicles (UAV)-attached edge devices, telecommunication base stations installed …
Aerial Vehicles (UAV)-attached edge devices, telecommunication base stations installed …
Enhancing multi-cloud service deployment with SkyCap: A loss-aware coordinator in sky computing
Z Zhang, K Ning, G Wu - Ad Hoc Networks, 2024 - Elsevier
Abstract Internet of Things (IoT) services deployed across different Cloud Service Providers
(CSPs) require seamless migration across heterogeneous clouds. Sky Computing (SC) …
(CSPs) require seamless migration across heterogeneous clouds. Sky Computing (SC) …