Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

NM Elfatih, MK Hasan, Z Kamal, D Gupta… - IET …, 2022 - Wiley Online Library
Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have
emerged from IoT technology, which refers to connecting many vehicles with various …

5G security challenges and solutions: a review by OSI layers

S Sullivan, A Brighente, SAP Kumar, M Conti - IEEE Access, 2021 - ieeexplore.ieee.org
The Fifth Generation of Communication Networks (5G) envisions a broader range of
services compared to previous generations, supporting an increased number of use cases …

Perceptual enhancement for autonomous vehicles: Restoring visually degraded images for context prediction via adversarial training

F Ding, K Yu, Z Gu, X Li, Y Shi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Realizing autonomous vehicles is one of the ultimate dreams for humans. However,
perceptual information collected by sensors in dynamic and complicated environments, in …

Intelligent delay-aware partial computing task offloading for multiuser industrial internet of things through edge computing

X Deng, J Yin, P Guan, NN Xiong… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …

Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking

J Wang, K Zhu, E Hossain - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

Cooperative computation offloading and resource allocation for delay minimization in mobile edge computing

Z Kuang, Z Ma, Z Li, X Deng - Journal of Systems Architecture, 2021 - Elsevier
Mobile edge computing (MEC) is a promising paradigm, which brings computation
resources in proximity to mobile devices and allows the tasks of mobile devices to be …

Distributed computation offloading method based on deep reinforcement learning in ICV

C Chen, Y Zhang, Z Wang, S Wan, Q Pei - Applied Soft Computing, 2021 - Elsevier
With the rapid development of Intelligent Connected Vehicles (ICVs), more effective
computation resources optimization schemes in task scheduling are exactly required for …

Computation offloading and service caching for intelligent transportation systems with digital twin

X Xu, Z Liu, M Bilal, S Vimal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …

Edge-based auditing method for data security in resource-constrained internet of things

T Wang, Y Mei, X Liu, J Wang, HN Dai… - Journal of Systems …, 2021 - Elsevier
The explosive generation of Internet of Things (IoT) data calls for cloud service providers
(CSP) to further provide more secure and reliable transmission, storage, and management …

SPIDER: A social computing inspired predictive routing scheme for softwarized vehicular networks

L Zhao, T Zheng, M Lin, A Hawbani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Software-defined vehicular network (SDVN) is a promising networking paradigm that can
provide intelligent information exchanges by separating network management and data …