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Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing

In this paper, we propose an optimization framework of vehicular fog computing and a cooperation vehicular network model. We aim to improve the performance of vehicular fog computing and solve the problem that the data of the vehicle collaborative network is difficult to obtain. This paper applies t...

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Detalles Bibliográficos
Autores principales: Ran, Maoli, Bai, Xiangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219052/
https://www.ncbi.nlm.nih.gov/pubmed/32316327
http://dx.doi.org/10.3390/s20082269
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author Ran, Maoli
Bai, Xiangyu
author_facet Ran, Maoli
Bai, Xiangyu
author_sort Ran, Maoli
collection PubMed
description In this paper, we propose an optimization framework of vehicular fog computing and a cooperation vehicular network model. We aim to improve the performance of vehicular fog computing and solve the problem that the data of the vehicle collaborative network is difficult to obtain. This paper applies the hypergraph theory to study the underlying structure, considering the social characteristics of the vehicles and vehicle communication. Since the vehicles join the network in accordance with the Poisson process law, the model is analyzed by using Poisson stochastic process and mean field theory. This paper uses MATLAB to simulate the evolution process of cooperative networks. The results show that the vehicle’s super-degree in vehicular fog computing has scale-free characteristics. Through this model, the vehicle cooperation situation can be analyzed, and the vehicle dynamics can be accurately predicted to further improve the performance of vehicular fog computing. The model can be transformed into some complex network models by adjusting the parameters. It has strong universality and has certain reference significance for the research on the related characteristics of VANETs and the theoretical research of the cooperative network.
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spelling pubmed-72190522020-05-22 Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing Ran, Maoli Bai, Xiangyu Sensors (Basel) Article In this paper, we propose an optimization framework of vehicular fog computing and a cooperation vehicular network model. We aim to improve the performance of vehicular fog computing and solve the problem that the data of the vehicle collaborative network is difficult to obtain. This paper applies the hypergraph theory to study the underlying structure, considering the social characteristics of the vehicles and vehicle communication. Since the vehicles join the network in accordance with the Poisson process law, the model is analyzed by using Poisson stochastic process and mean field theory. This paper uses MATLAB to simulate the evolution process of cooperative networks. The results show that the vehicle’s super-degree in vehicular fog computing has scale-free characteristics. Through this model, the vehicle cooperation situation can be analyzed, and the vehicle dynamics can be accurately predicted to further improve the performance of vehicular fog computing. The model can be transformed into some complex network models by adjusting the parameters. It has strong universality and has certain reference significance for the research on the related characteristics of VANETs and the theoretical research of the cooperative network. MDPI 2020-04-16 /pmc/articles/PMC7219052/ /pubmed/32316327 http://dx.doi.org/10.3390/s20082269 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ran, Maoli
Bai, Xiangyu
Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
title Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
title_full Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
title_fullStr Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
title_full_unstemmed Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
title_short Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
title_sort vehicle cooperative network model based on hypergraph in vehicular fog computing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219052/
https://www.ncbi.nlm.nih.gov/pubmed/32316327
http://dx.doi.org/10.3390/s20082269
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