Cited by 32Software-Defined Networks and 5GVehicular Ad Hoc Networks (VANETs)Advanced Optical Network Technologies

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

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Zhang, Peiying, Wang, Chao, Aujla, Gagangeet Singh, Kumar, Neeraj, Guizani, Mohsen·2020·IEEE Transactions on Vehicular Technology

Abstract

Wireless network communication has developed rapidly in recent years, especially in the field of Internet of vehicles (IoV). However, due to the limitations of traditional network architecture, resource scheduling in wireless network environment is still facing great challenges. We focus on the urgent need of users for bandwidth resources in the IoV scenario under virtual network environment. This paper proposes a bandwidth aware multi domain virtual network embedding (BA-VNE) algorithm. The algorithm is mainly aimed at the problem that users need a lot of bandwidth in wireless communication mode, and solves the problem of bandwidth resource allocation from the perspective of virtual network embedding (VNE). In order to improve the performance of the algorithm, we introduce particle swarm optimization (PSO) algorithm to optimize the performance of the algorithm. In order to verify the effectiveness of the algorithm, we have carried out simulation experiments from link bandwidth, mapping cost and virtual network request (VNR) acceptance rate. The final results show that the proposed algorithm is better than other representative algorithms in the above indicators.

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Crossref · 10.1109/tvt.2020.3035341

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  • The limitations of single-vehicle on-board sensors can be addressed through collaborative perception, which enhances accuracy and stability by utilizing shared perception data.

    “The limitations of single-vehicle on-board sensors can be addressed through collaborative perception, which enhances accuracy and stability by utilizing shared perception data.”

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References 38 · Cited by 32

Research works printed but not linked: 46

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Metadata

Authors
Zhang, P., Wang, C., Aujla, G. S., Kumar, N., & Guizani, M.
Affiliations
  • China University of Petroleum, East China (CN)
  • Durham University (GB)
  • Asia University (TW)
  • Qatar University (QA)
Venue
IEEE Transactions on Vehicular Technology
Published
2020-12
Volume
69
Issue
12
Pages
15774-15785
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
OpenAlex
W4285579862
Cited by
32
References
38
Citations by year
2026: 1 · 2025: 3 · 2024: 5 · 2023: 7 · 2022: 5 · 2021: 11
FWCI
2.70
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Vehicular Technology (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Durham Research Online (Durham University) (submittedVersion, cc-by)
  • Qatar University QSpace (Qatar University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Major Scientific and Technological Projects of CNPC (ZD2019-183-006)
  • Fundamental Research Funds for the Central Universities
  • China University of Petroleum, Beijing (20CX05017 A, 18CX02139 A)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Optical Network Technologies
Keywords
Internet of Vehicles, virtual network embedding, bandwidth allocation, wireless communication, particle swarm optimization

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