An intelligent optimization‐based traffic information acquirement approach to software‐defined networking

L Huo, D Jiang, Z Lv, S Singh - Computational Intelligence, 2020 - Wiley Online Library
Internet of things (IoT) is a global information infrastructure that supports access to
thousands of monitoring devices and user terminals. A large amount of monitoring data …

RDAM: A reinforcement learning based dynamic attribute matrix representation for virtual network embedding

H Yao, B Zhang, P Zhang, S Wu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Network virtualization makes it possible to manage multiple virtual networks simultaneously
on substrate physical networks. Virtual network embedding (VNE) is the critical step of …

Deep graph reinforcement learning based intelligent traffic routing control for software-defined wireless sensor networks

R Huang, W Guan, G Zhai, J He, X Chu - Applied Sciences, 2022 - mdpi.com
Software-defined wireless sensor networks (SDWSN), where the data and control planes
are decoupled, are more suited to handling big sensor data and effectively monitoring …

Double deep Q-network based distributed resource matching algorithm for D2D communication

Y Yuan, Z Li, Z Liu, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Device-to-Device (D2D) communication with short communication distance is an efficient
way to improve spectrum efficiency and mitigate interference. To realize the optimal …

Multi-Agent RL Based Jointly Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network

X Dai, Z Lu, X Chen, X Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In this article, we propose a downlink communication scheme for large-scale high-
interference unmanned aerial vehicle (UAV) swarm network based on nonorthogonal …

Enhanced neighborhood node graph neural networks for load forecasting in smart grid

J Yanmei, L Mingsheng, L Yangyang, L Yaping… - International journal of …, 2024 - Springer
Deep learning technology creates the condition for the optimization of the smart grid, and the
big data analytical technique has the most efficient way to analyze and share the power load …

Heart coronary artery segmentation and disease risk warning based on a deep learning algorithm

C Xiao, Y Li, Y Jiang - Ieee Access, 2020 - ieeexplore.ieee.org
This paper is based on an improved three-dimensional U-net convolutional neural network
deep learning algorithm for heart coronary artery segmentation for disease risk prediction …

Multi-agent driven resource allocation and interference management for deep edge networks

Y Gong, H Yao, J Wang, L Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Sixth generation mobile networks (6G) may experience a huge evolution on vertical industry
scenarios, where deep edge networks () become an important network structure for the …

Privacy-preserving deep learning based on multiparty secure computation: A survey

Q Zhang, C Xin, H Wu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Deep learning (DL) has demonstrated superior success in various of applications, such as
image classification, speech recognition, and anomalous detection. The unprecedented …

SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm

R Mohammadi, S Akleylek, A Ghaffari - PeerJ Computer Science, 2023 - peerj.com
Abstract The Internet of Things (IoT) includes billions of different devices and various
applications that generate a huge amount of data. Due to inherent resource limitations …