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车载命名数据网络中暂态内容的缓存:性能分析。

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

机构信息

DIIES Department, University Mediterranea of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89100 Reggio Calabria, Italy.

Laboratoire des Signaux et Systémes (L2S), CentraleSupélec, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.

出版信息

Sensors (Basel). 2020 Apr 2;20(7):1985. doi: 10.3390/s20071985.

DOI:10.3390/s20071985
PMID:32252347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7180914/
Abstract

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 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 is a crucial parameter that deeply influences the cache hit ratio and, consequently, the data dissemination performance.

摘要

命名数据网络(NDN)是一种有前途的通信范例,适用于具有挑战性的车载自组织环境。特别是,内置的普遍缓存功能对于在短暂和间歇性连接的情况下实现有效的数据传输至关重要。然而,现有研究并未考虑到多个车载内容可能是短暂的这一事实,即它们在生成后的某个时间段后过期,这在 NDN 中称为。在本文中,我们研究了在车载 NDN 中缓存短暂内容的影响,并提出了一种简单而有效的基于新鲜度的缓存决策策略,车辆可以自主实现。在 ndnSIM 中的性能评估表明,是一个关键参数,它深刻地影响缓存命中率,从而影响数据分发性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/4403c0418193/sensors-20-01985-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/69ac1f682915/sensors-20-01985-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/0c2a85b6e63a/sensors-20-01985-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/1d34b0e72c8b/sensors-20-01985-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/e1799cad2b26/sensors-20-01985-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/1433957c3dff/sensors-20-01985-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/75e31f2cd659/sensors-20-01985-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/4403c0418193/sensors-20-01985-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/69ac1f682915/sensors-20-01985-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/0c2a85b6e63a/sensors-20-01985-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/1d34b0e72c8b/sensors-20-01985-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/e1799cad2b26/sensors-20-01985-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/1433957c3dff/sensors-20-01985-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/75e31f2cd659/sensors-20-01985-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3c/7180914/4403c0418193/sensors-20-01985-g007.jpg

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