A survey on space-air-ground-sea integrated network security in 6G

H Guo, J Li, J Liu, N Tian, N Kato - … Communications Surveys & …, 2021 - ieeexplore.ieee.org
Space-air-ground-sea integrated network (SAGSIN), which integrates satellite
communication networks, aerial networks, terrestrial networks, and marine communication …

AI models for green communications towards 6G

B Mao, F Tang, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

DRL-based partial offloading for maximizing sum computation rate of wireless powered mobile edge computing network

S Zhang, H Gu, K Chi, L Huang, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advanced Internet of Things (IoT) enables more and more interactions between people
and machines in the emerging applications, which rely on real-time communication and …

TCDA: Truthful combinatorial double auctions for mobile edge computing in industrial Internet of Things

L Ma, X Wang, X Wang, L Wang, Y Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive
computing services for industrial Internet of Things (IIoT) applications. How to guarantee …

Reinforcement learning based EV charging management systems–a review

HM Abdullah, A Gastli, L Ben-Brahim - IEEE Access, 2021 - ieeexplore.ieee.org
To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …

Unified biometric privacy preserving three-factor authentication and key agreement for cloud-assisted autonomous vehicles

Q Jiang, N Zhang, J Ni, J Ma, X Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autonomous vehicles (AVs) are increasingly common, although there remain a number of
limitations that need to be addressed in order for their deployment to be more widespread …

A joint service migration and mobility optimization approach for vehicular edge computing

Q Yuan, J Li, H Zhou, T Lin, G Luo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular edge computing is considered an enabling technology for intelligent and
connected vehicles since the optimization of communication and computing on edge has a …

FedParking: A federated learning based parking space estimation with parked vehicle assisted edge computing

X Huang, P Li, R Yu, Y Wu, K **e… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As a distributed learning approach, federated learning trains a shared learning model over
distributed datasets while preserving the training data privacy. We extend the application of …

Machine-learning-assisted security and privacy provisioning for edge computing: A survey

S Singh, R Sulthana, T Shewale… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Edge computing (EC), is a technological game changer that has the ability to connect
millions of sensors and provide services at the device end. The broad vision of EC integrates …

On the design of conditional privacy preserving batch verification-based authentication scheme for internet of vehicles deployment

AK Sutrala, P Bagga, AK Das, N Kumar… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In the Internet of Vehicles (IoV), secure information sharing among vehicles is crucial in
order to upgrade driving safety as well as to strengthen vehicular services. However, public …