On the design of sidelink for cellular V2X: A literature review and outlook for future

A Bazzi, AO Berthet, C Campolo, BM Masini… - IEEE …, 2021 - ieeexplore.ieee.org
Connected and fully automated vehicles are expected to revolutionize our mobility in the
near future on a global scale, by significantly improving road safety, traffic efficiency, and …

[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges

M Ahmed, S Raza, MA Mirza, A Aziz, MA Khan… - Journal of King Saud …, 2022 - Elsevier
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y Xing, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Attribute-based encryption with parallel outsourced decryption for edge intelligent IoV

C Feng, K Yu, M Aloqaily, M Alazab… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Edge intelligence is an emerging concept referring to processes in which data are collected
and analyzed and insights are delivered close to where the data are captured in a network …

Vehicular intelligence in 6G: Networking, communications, and computing

H Guo, X Zhou, J Liu, Y Zhang - Vehicular Communications, 2022 - Elsevier
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …

[HTML][HTML] Multi-feature fusing local directional ternary pattern for facial expressions signal recognition based on video communication system

L Yan, Y Shi, M Wei, Y Wu - Alexandria Engineering Journal, 2023 - Elsevier
In the field of Automatic Facial Expression Signal Recognition (AFESR) at video
communication system, the fusing feature extraction is playing an extremely important role in …

AI-driven blind signature classification for IoT connectivity: A deep learning approach

J Pan, N Ye, H Yu, T Hong, S Al-Rubaye… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) promises to fulfill the fast-growing connectivities in
future Internet of Things (IoT) using abundant multiple-access signatures. While explicitly …

Toward 6G internet of things and the convergence with RoF system

N Chen, M Okada - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been a promising communication paradigm that involves
sensors, microcontrollers, and transceivers for an efficient communication and computation …

Deep reinforcement learning based transmission policy enforcement and multi-hop routing in QoS aware LoRa IoT networks

MSA Muthanna, A Muthanna, A Rafiq… - Computer …, 2022 - Elsevier
The LoRa wireless connectivity has become a de facto technology for intelligent critical
infrastructures such as transport systems. Achieving high Quality of Service (QoS) in …

A secure and efficient multiserver authentication and key agreement protocol for internet of vehicles

J Wang, L Wu, H Wang, KKR Choo… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Internet of Vehicles (IoV) being a subdivided application of the Internet of Things, is
considered as one of the most prominent and emerging technologies for model …