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 …

Federated learning in intelligent transportation systems: Recent applications and open problems

S Zhang, J Li, L Shi, M Ding, DC Nguyen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …

V2VR: reliable hybrid-network-oriented V2V data transmission and routing considering RSUs and connectivity probability

H Gao, C Liu, Y Li, X Yang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) have been widely used in intelligent transportation
systems (ITSs) for purposes such as the control of unmanned aerial vehicles (UAVs) and …

Novel edge caching approach based on multi-agent deep reinforcement learning for internet of vehicles

D Zhang, W Wang, J Zhang, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Along with the development of Internet of Vehicles (IoV) and wireless technology, the usage
of applications that require low latency, such as autonomous driving and intelligent …

Imitation learning enabled task scheduling for online vehicular edge computing

X Wang, Z Ning, S Guo, L Wang - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a promising paradigm based on the Internet of vehicles
to provide computing resources for end users and relieve heavy traffic burden for cellular …

A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle

T Zhang, D Zhang, H Yan, J Qiu, J Gao - Neurocomputing, 2021 - Elsevier
Abstract The Internet of Vehicles (IoV) can obtain traffic information through a large number
of data collected by sensors. However, the lack of data, abnormal data, and other low-quality …

Task offloading method of edge computing in internet of vehicles based on deep reinforcement learning

D Zhang, L Cao, H Zhu, T Zhang, J Du, K Jiang - Cluster Computing, 2022 - Springer
Compared with the traditional network tasks, the emerging Internet of Vehicles (IoV)
technology has higher requirements for network bandwidth and delay. However, due to the …

Novel self-adaptive routing service algorithm for application in VANET

D Zhang, T Zhang, X Liu - Applied Intelligence, 2019 - Springer
As a special MANET (mobile ad hoc network), VANET (vehicular ad-hoc network) has two
important properties: the network topology changes frequently, and communication links are …

A multi-path routing protocol based on link lifetime and energy consumption prediction for mobile edge computing

DG Zhang, L Chen, J Zhang, J Chen, T Zhang… - IEEE …, 2020 - ieeexplore.ieee.org
During mobile edge computing, due to the movement of nodes and the exhaustion of node
energy, link failure occurs thus reducing the network lifetime in the mobile ad-hoc network …

A novel internet of things-enabled accident detection and reporting system for smart city environments

F Bhatti, MA Shah, C Maple, SU Islam - sensors, 2019 - mdpi.com
Internet of Things-enabled Intelligent Transportation Systems (ITS) are gaining significant
attention in academic literature and industry, and are seen as a solution to enhancing road …