most citedDeep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

8 citations · 16 across the 19 of their papers we have counts for

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12 papers · 1 filter

cs.NI2023

DNFS-VNE: Deep Neuro Fuzzy System Driven Virtual Network Embedding

Ailing Xiao, Ning Chen, Sheng Wu +3

By decoupling substrate resources, network virtualization (NV) is a promising solution for meeting diverse demands and ensuring differentiated quality of service (QoS). In particul…

cs.NI2022

Multi-Domain Virtual Network Embedding Algorithm based on Horizontal Federated Learning

Peiying Zhang, Ning Chen, Shibao Li +2

Network Virtualization (NV) is an emerging network dynamic planning technique to overcome network rigidity. As its necessary challenge, Virtual Network Embedding (VNE) enhances the…

cs.NI2022

STEC-IoT: A Security Tactic by Virtualizing Edge Computing on IoT

Peiying Zhang, Chunxiao Jiang, Xue Pang +1

To a large extent, the deployment of edge computing (EC) can reduce the burden of the explosive growth of the Internet of things. As a powerful hub between the Internet of things a…

cs.NI2022

A Multi-Domain VNE Algorithm based on Load Balancing in the IoT networks

Peiying Zhang, Fanglin Liu, Chunxiao Jiang +3

Virtual network embedding is one of the key problems of network virtualization. Since virtual network mapping is an NP-hard problem, a lot of research has focused on the evolutiona…

cs.NI2022

IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode

Peiying Zhang, Chao Wang, Gagangeet Singh Aujla +2

The wireless network communication mode represented by the Internet of vehicles (IoV) has been widely used. However, due to the limitations of traditional network architecture, res…

cs.NI2022★ 2 cited

Space-Air-Ground Integrated Multi-domain Network Resource Orchestration based on Virtual Network Architecture: a DRL Method

Peiying Zhang, Chao Wang, Neeraj Kumar +1

Traditional ground wireless communication networks cannot provide high-quality services for artificial intelligence (AI) applications such as intelligent transportation systems (IT…

cs.NI2022

Security-Aware Virtual Network Embedding Algorithm based on Reinforcement Learning

Peiying Zhang, Chao Wang, Chunxiao Jiang +1

Virtual network embedding (VNE) algorithm is always the key problem in network virtualization (NV) technology. At present, the research in this field still has the following proble…

cs.NI2022

Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network

Chao Wang, Lei Liu, Chunxiao Jiang +3

Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The effective management of SAGIN resources is a prerequisite for high-reliability communication…

cs.NI2022★ 2 cited

Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning

Peiying Zhang, Chao Wang, Neeraj Kumar +2

Network virtualization (NV) is a technology with broad application prospects. Virtual network embedding (VNE) is the core orientation of VN, which aims to provide more flexible und…

cs.NI2022★ 1 cited

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Chao Wang, Tao Dong, Youxiang Duan +2

The rapid development of virtual network architecture makes it possible for wireless network to be widely used. With the popularity of artificial intelligence (AI) industry in dail…

cs.NI2022

A multi-domain virtual network embedding algorithm with delay prediction

Peiying Zhang, Xue Pang, Yongjing Ni +2

Virtual network embedding (VNE) is an crucial part of network virtualization (NV), which aims to map the virtual networks (VNs) to a shared substrate network (SN). With the emergen…

cs.NI2022★ 1 cited

VNE Solution for Network Differentiated QoS and Security Requirements: From the Perspective of Deep Reinforcement Learning

Chao Wang, Ranbir Singh Batth, Peiying Zhang +3

The rapid development and deployment of network services has brought a series of challenges to researchers. On the one hand, the needs of Internet end users/applications reflect th…