具有缓存功能的车辆内容中心网络的连接感知缓存算法

Sangsha Fang, Hongning Mao
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引用次数: 4

摘要

最近,引入了支持缓存的车辆,以提高车辆内容中心网络(vccn)中的内容交付效率。内容请求可以通过车载缓存来满足,而不会产生回程成本。然而,在参与的车辆中存储内容需要缓存成本。此外,车对车(V2V)内容传输高度依赖于车间连接。本文提出了一种连接感知内容缓存算法,以帮助启用缓存的车辆管理其缓存。根据内容流行度分布、连接性和当前缓存状态,支持缓存的车辆存储一些内容块,以最大化总体缓存效用。仿真结果表明,该算法在总缓存效用上优于现有的AlwaysCaching算法和概率缓存(probabilistic caching, ProCaching)算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Connectivity-Aware Caching Algorithm for Vehicular Content Centric Networks with Cache-Enabled Vehicles
Recently, cache-enabled vehicles have been introduced to improve the efficiency of content delivery in vehicular content centric networks (VCCNs). Content requests can be satisfied by vehicular caches without causing backhaul cost. However, it takes caching cost to store contents in participating vehicles. Moreover, the vehicle-to-vehicle (V2V) content delivery highly depends on the inter-vehicle connectivity. In this paper, a connectivity-aware content caching algorithm is proposed to help cache-enabled vehicles manage theirs caches. According to the content popularity distribution, connectivity, and current caching status, cache-enabled vehicles store some chunks of contents to maximize the total caching utility. Simulation results prove that the proposed connectivity-aware caching algorithm is superior to the existing AlwaysCaching algorithm and probabilistic caching (ProCaching) algorithm in the total caching utility.
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