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AI models for green communications towards 6G
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 …
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
Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …
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
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 …
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 …
of applications that require low latency, such as autonomous driving and intelligent …
Imitation learning enabled task scheduling for online vehicular edge computing
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 …
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 …
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 …
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 …
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 …
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
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 …
attention in academic literature and industry, and are seen as a solution to enhancing road …