Deep learning-based selective spectrum sensing and allocation in cognitive vehicular radio networks

A Paul, K Choi - Vehicular Communications, 2023 - Elsevier
The main challenge with Vehicular Ad-Hoc Networks (VANETs) for assisting Intelligent
Transportation Services (ITSs) is ensuring effective data delivery under various network …

Hierarchically defining Internet of Things security: From CIA to CACA

L Yin, B Fang, Y Guo, Z Sun… - International Journal of …, 2020 - journals.sagepub.com
With the rapid development of Internet of Things technology (eg wireless sensor networks),
security has become a global issue. Confidentiality, integrity, and availability (known as the …

Research on Optimization of Cross‐Border e‐Commerce Logistics Distribution Network in the Context of Artificial Intelligence

J Shi - Mobile Information Systems, 2022 - Wiley Online Library
The continuous innovation of artificial intelligence technology has led to industrial upgrading
and industry transformation in various industries, and e‐commerce logistics has borne the …

Blockchain enabled federated slicing for 5G networks with AI accelerated optimization

Q Hu, W Wang, X Bai, S Jin, T Jiang - IEEE Network, 2020 - ieeexplore.ieee.org
Recent years have witnessed a blooming of new applications that demand different network
services. Network slicing is advocated by the research community to simultaneously support …

Enhancing vehicular edge computing system through cooperative computation offloading

Y Lu, D Han, X Wang, Q Gao - Cluster Computing, 2023 - Springer
Abstract Vehicular Edge Computing is the specific application of Mobile Edge Computing in
vehicular scenarios. In this work, to efficiently provide on-demand computational resource …

A collaborative task offloading strategy for mobile edge computing in internet of vehicles

Z Song, R Ma, Y Xie - 2021 IEEE 5th Advanced Information …, 2021 - ieeexplore.ieee.org
With the development of Internet of vehicles, in the future, people's demand for data
communication, networking and intelligent vehicle flow calculation will be greatly increased …

[PDF][PDF] 基于位置预测的智慧公路边缘任务协同机制

邵苏杰, 柴睿均, 郭少勇, 吴双, 王智立, 邱雪松 - 电子与信息学报, 2023 - jeit.ac.cn
近年来智慧公路为用户提供了道路监测, 辅助驾驶等新型服务, 但随之而来的是数据流量爆炸式
的增长, 这对网络的承载能力带来了极大的考验. 随着5G 和移动边缘计算技术的成熟 …

MmWave M2M networks: Improving delay performance of relaying

Z Chen, D Smith - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
For future wireless networks, applications such as Industrial Internet of Things are strictly
delay-sensitive. Meanwhile, millimeter-wave (mmWave) communication is a promising …

[PDF][PDF] Harnessing machine learning for next-generation intelligent transportation systems: a survey

T Yuan, WB da Rocha Neto… - Proceedings of the …, 2019 - intrig.dca.fee.unicamp.br
Abstract Intelligent Transportation Systems, or ITS for short, includes a variety of services
and applications such as road traffic management, traveler information systems, public …

[HTML][HTML] Distributed perception and model inference with intelligent connected vehicles in smart cities

C Li, S Wang, X Li, F Zhao, R Yu - Ad Hoc Networks, 2020 - Elsevier
The fast penetration of Intelligent Connected Vehicles (ICVs) has become the primary
growth engine of the automotive industry in recent years. Urban vehicular network consisting …