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Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios

In recent years, new architectures and technologies have been proposed for Vehicular Ad Hoc networks (VANETs). Due to the cost and complexity of deploying such networks, most of these proposals rely on simulation. However, we find that most of the experiments made to validate these proposals tend to...

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Detalles Bibliográficos
Autores principales: Fogue, Manuel, Garrido, Piedad, Martinez, Francisco J., Cano, Juan-Carlos, Calafate, Carlos T., Manzoni, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673134/
https://www.ncbi.nlm.nih.gov/pubmed/23604026
http://dx.doi.org/10.3390/s130405220
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author Fogue, Manuel
Garrido, Piedad
Martinez, Francisco J.
Cano, Juan-Carlos
Calafate, Carlos T.
Manzoni, Pietro
author_facet Fogue, Manuel
Garrido, Piedad
Martinez, Francisco J.
Cano, Juan-Carlos
Calafate, Carlos T.
Manzoni, Pietro
author_sort Fogue, Manuel
collection PubMed
description In recent years, new architectures and technologies have been proposed for Vehicular Ad Hoc networks (VANETs). Due to the cost and complexity of deploying such networks, most of these proposals rely on simulation. However, we find that most of the experiments made to validate these proposals tend to overlook the most important and representative factors. Moreover, the scenarios simulated tend to be very simplistic (highways or Manhattan-based layouts), which could seriously affect the validity of the obtained results. In this paper, we present a statistical analysis based on the 2(k) factorial methodology to determine the most representative factors affecting traffic safety applications under real roadmaps. Our purpose is to determine which are the key factors affecting Warning Message Dissemination in order to concentrate research tests on such parameters, thus avoiding unnecessary simulations and reducing the amount of simulation time required. Simulation results show that the key factors affecting warning messages delivery are the density of vehicles and the roadmap used. Based on this statistical analysis, we consider that VANET researchers must evaluate the benefits of their proposals using different vehicle densities and city scenarios, to obtain a broad perspective on the effectiveness of their solution. Finally, since city maps can be quite heterogeneous, we propose a roadmap profile classification to further reduce the number of cities evaluated.
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spelling pubmed-36731342013-06-19 Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios Fogue, Manuel Garrido, Piedad Martinez, Francisco J. Cano, Juan-Carlos Calafate, Carlos T. Manzoni, Pietro Sensors (Basel) Article In recent years, new architectures and technologies have been proposed for Vehicular Ad Hoc networks (VANETs). Due to the cost and complexity of deploying such networks, most of these proposals rely on simulation. However, we find that most of the experiments made to validate these proposals tend to overlook the most important and representative factors. Moreover, the scenarios simulated tend to be very simplistic (highways or Manhattan-based layouts), which could seriously affect the validity of the obtained results. In this paper, we present a statistical analysis based on the 2(k) factorial methodology to determine the most representative factors affecting traffic safety applications under real roadmaps. Our purpose is to determine which are the key factors affecting Warning Message Dissemination in order to concentrate research tests on such parameters, thus avoiding unnecessary simulations and reducing the amount of simulation time required. Simulation results show that the key factors affecting warning messages delivery are the density of vehicles and the roadmap used. Based on this statistical analysis, we consider that VANET researchers must evaluate the benefits of their proposals using different vehicle densities and city scenarios, to obtain a broad perspective on the effectiveness of their solution. Finally, since city maps can be quite heterogeneous, we propose a roadmap profile classification to further reduce the number of cities evaluated. Molecular Diversity Preservation International (MDPI) 2013-04-19 /pmc/articles/PMC3673134/ /pubmed/23604026 http://dx.doi.org/10.3390/s130405220 Text en © 2013 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Fogue, Manuel
Garrido, Piedad
Martinez, Francisco J.
Cano, Juan-Carlos
Calafate, Carlos T.
Manzoni, Pietro
Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios
title Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios
title_full Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios
title_fullStr Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios
title_full_unstemmed Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios
title_short Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban Scenarios
title_sort identifying the key factors affecting warning message dissemination in vanet real urban scenarios
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673134/
https://www.ncbi.nlm.nih.gov/pubmed/23604026
http://dx.doi.org/10.3390/s130405220
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