车辆命名数据网络中基于集群的选择性协同缓存策略

Wanying Huang, Tian Song, Yating Yang, Yu Zhang
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引用次数: 13

摘要

车载命名数据网络(VNDN)是应用于车载通信中信息丰富的应用领域的一种潜在的候选技术。由于车辆的移动性,节点之间难以建立稳定可靠的连接。因此,VNDN在数据传输中存在体验质量低、网络负载大的问题。为了解决这些问题,提高网络性能,我们提出了一种基于集群的VNDN选择性协同缓存(CSCoC)策略。CSCoC的主要思想是将流行数据缓存在一组可以与其他车辆建立稳定通信的车辆中。在我们的策略中,使用聚类划分方法对车辆进行划分,并根据车辆的移动模式选择簇头作为缓存车辆。为了减轻车辆快速移动带来的影响,我们设计了一种协作缓存策略,允许集群成员从其集群头部请求和获取数据。此外,我们还提出了一种计算本地数据流行度的方法,以及基于数据流行度的缓存替换策略。仿真结果表明,与现有策略相比,CSCoC在平均访问延迟、平均跳数和缓存命中率方面提高了约70%的VNDN性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cluster-based Selective Cooperative Caching Strategy in Vehicular Named Data Networking
Vehicular named data networking (VNDN) is a potential candidate to be deployed in information rich applications of vehicular communication. Due to vehicle mobility, it is difficult to construct stable and reliable connections between nodes. Consequently, VNDN is suffering low quality of experience and heavy network load in data transmission. In order to solve these problems and improve network performance, we propose a Cluster-based Selective Cooperative Caching (CSCoC) strategy in VNDN. The main idea of CSCoC is to cache popular data at a set of vehicles that may establish stable communication with others. In our strategy, cluster dividing method is used to divide vehicles and select cluster heads as caching vehicles based on their mobility patterns. To mitigate the impact from fast vehicle mobility, we design a cooperative caching strategy which allows cluster members to request and fetch data from their cluster heads. Additionally, we put forward a method of computing the local data popularity, and a cache replacement strategy based on the data popularity. Compared with existing strategies, simulation results demonstrate how CSCoC increases VNDN performance by around 70% in terms of average access delay, average hop count and cache hit ratio.
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