Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications

ES Ali, MK Hasan, R Hassan, RA Saeed… - Security and …, 2021 - Wiley Online Library
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …

Management and orchestration of edge computing for IoT: A comprehensive survey

Y Chiang, Y Zhang, H Luo, TY Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …

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 …

Joint optimization strategy of computation offloading and resource allocation in multi-access edge computing environment

H Li, H Xu, C Zhou, X Lü, Z Han - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In order to help user terminal devices (UTDs) efficiently handle computation-intensive and
time-delay sensitive computing task, multi-access edge computing (MEC) has been …

DeepEdge: A new QoE-based resource allocation framework using deep reinforcement learning for future heterogeneous edge-IoT applications

I AlQerm, J Pan - IEEE Transactions on Network and Service …, 2021 - ieeexplore.ieee.org
Edge computing is emerging to empower the future of Internet of Things (IoT) applications.
However, due to heterogeneity of applications, it is a significant challenge for the edge cloud …

Optimized multi-service tasks offloading for federated learning in edge virtualization

P Tam, S Math, S Kim - IEEE Transactions on Network Science …, 2022 - ieeexplore.ieee.org
Edge federated learning (EFL) utilizes edge computing (EC) to alleviate direct round
communications of multi-dimensional model updates between local participants and the …

Machine learning technologies in internet of vehicles

ES Ali, MB Hassan, RA Saeed - Intelligent technologies for Internet of …, 2021 - Springer
Recently, there was much interest in Technology which has emerged greatly to the
development of smart cars. Internet of Vehicle (IoV) enables vehicles to communicate with …

Offloading decision and resource allocation in mobile edge computing for cost and latency efficiencies in real-time IoT

C Eang, S Ros, S Kang, I Song, P Tam, S Math, S Kim - Electronics, 2024 - mdpi.com
Internet of Things (IoT) devices can integrate with applications requiring intensive contextual
data processing, intelligent vehicle control, healthcare remote sensing, VR, data mining …

Mobility-aware deep reinforcement learning with seq2seq mobility prediction for offloading and allocation in edge computing

CL Wu, TC Chiu, CY Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile/multi-access edge computing (MEC) is developed to support the upcoming AI-aware
mobile services, which require low latency and intensive computation resources at the edge …

Edge-based video surveillance with graph-assisted reinforcement learning in smart construction

Z Ming, J Chen, L Cui, S Yang, Y Pan… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The smart construction site is develo** rapidly with the intelligentization of industrial
management. Intelligent devices are being widely deployed in construction industry to …