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Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis

Named Data Networking (NDN) is a promising communication paradigm for the challenging vehicular ad hoc environment. In particular, the built-in pervasive caching capability was shown to be essential for effective data delivery in presence of short-lived and intermittent connectivity. Existing studie...

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Autores principales: Amadeo, Marica, Campolo, Claudia, Ruggeri, Giuseppe, Lia, Gianmarco, Molinaro, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180914/
https://www.ncbi.nlm.nih.gov/pubmed/32252347
http://dx.doi.org/10.3390/s20071985
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author Amadeo, Marica
Campolo, Claudia
Ruggeri, Giuseppe
Lia, Gianmarco
Molinaro, Antonella
author_facet Amadeo, Marica
Campolo, Claudia
Ruggeri, Giuseppe
Lia, Gianmarco
Molinaro, Antonella
author_sort Amadeo, Marica
collection PubMed
description Named Data Networking (NDN) is a promising communication paradigm for the challenging vehicular ad hoc environment. In particular, the built-in pervasive caching capability was shown to be essential for effective data delivery in presence of short-lived and intermittent connectivity. Existing studies have however not considered the fact that multiple vehicular contents can be transient, i.e., they expire after a certain time period since they were generated, the so-called FreshnessPeriod in NDN. In this paper, we study the effects of caching transient contents in Vehicular NDN and present a simple yet effective freshness-driven caching decision strategy that vehicles can implement autonomously. Performance evaluation in ndnSIM shows that the FreshnessPeriod is a crucial parameter that deeply influences the cache hit ratio and, consequently, the data dissemination performance.
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spelling pubmed-71809142020-04-30 Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis Amadeo, Marica Campolo, Claudia Ruggeri, Giuseppe Lia, Gianmarco Molinaro, Antonella Sensors (Basel) Article Named Data Networking (NDN) is a promising communication paradigm for the challenging vehicular ad hoc environment. In particular, the built-in pervasive caching capability was shown to be essential for effective data delivery in presence of short-lived and intermittent connectivity. Existing studies have however not considered the fact that multiple vehicular contents can be transient, i.e., they expire after a certain time period since they were generated, the so-called FreshnessPeriod in NDN. In this paper, we study the effects of caching transient contents in Vehicular NDN and present a simple yet effective freshness-driven caching decision strategy that vehicles can implement autonomously. Performance evaluation in ndnSIM shows that the FreshnessPeriod is a crucial parameter that deeply influences the cache hit ratio and, consequently, the data dissemination performance. MDPI 2020-04-02 /pmc/articles/PMC7180914/ /pubmed/32252347 http://dx.doi.org/10.3390/s20071985 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
Amadeo, Marica
Campolo, Claudia
Ruggeri, Giuseppe
Lia, Gianmarco
Molinaro, Antonella
Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis
title Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis
title_full Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis
title_fullStr Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis
title_full_unstemmed Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis
title_short Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis
title_sort caching transient contents in vehicular named data networking: a performance analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180914/
https://www.ncbi.nlm.nih.gov/pubmed/32252347
http://dx.doi.org/10.3390/s20071985
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