DeTTO: dependency-aware trustworthy task offloading in vehicular IoT

P Dass, S Misra - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In this paper, we investigate the dependency-aware trustworthy task offloading problem
(DeTTO), especially in an IoT-enabled vehicular network, where a large computation …

Efficient and trusted task offloading in vehicular edge computing networks

X Chen, H Guo, J Liu - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
In order to meet the ever-increasing task processing demands of computation-intensive and
delay-sensitive applications in the era of autonomous driving, a promising approach is to …

Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks

Y Li, C Yang, X Chen, Y Liu - Vehicular Communications, 2024 - Elsevier
Intelligent assisted driving is an important application in vehicular edge computing networks
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …

Reinforcement Learning for Optimizing Delay-Sensitive Task Offloading in Vehicular Edge-Cloud Computing

TH Binh, H Vo, BM Nguyen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the appearance of more and more devices connected to the Internet, the world has
witnessed an ever-growing number of data to be processed. Among those, many tasks …

A DAG-based secure cooperative task offloading scheme in vehicular networks

Y Xie, F Wu, K Zhang, S Leng - 2021 IEEE 21st International …, 2021 - ieeexplore.ieee.org
Cooperative task offloading is a promising solution to improve computation efficiency and
reduce task delay in vehicular networks. However, trust risk among vehicles leads to security …

URLLC resource slicing and scheduling for trustworthy 6G vehicular services: A federated reinforcement learning approach

M Hao, D Ye, S Wang, B Tan, R Yu - Physical Communication, 2021 - Elsevier
In the upcoming 6G era, vehicles will massively connect to the wireless network through
edge access points such as roadside units (RSUs). The increasing number of connected …

An opportunistic vehicle-based task assignment for IoT offloading

K Sarieddine, H Artail, H Safa - Computer Networks, 2022 - Elsevier
IoT is one of the most prolific origins of data that is collected from sensory inputs. IoT devices
are characterized by low computational power, thus motivating the computation offloading …

Trust-aware service offloading for video surveillance in edge computing enabled internet of vehicles

X Xu, Q Wu, L Qi, W Dou, SB Tsai… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) supports multiple traffic services by processing abundant data from
sensors and video surveillance devices. With edge computing, video surveillance services …

A Proactive Stable Scheme for Vehicular Collaborative Edge Computing

J Liu, N Liu, L Liu, S Li, H Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the restricted computing resources and high upgrading costs, onboard processors
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …