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A Cooperative Caching Scheme Based on Mobility Prediction in Vehicular Content Centric Networks

机译：基于车辆内容中心网络的移动预测的协作缓存方案

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摘要

Vehicular content centric networks (VCCNs) emerge as a strong candidate to be deployed in information-rich applications of vehicular communications. Due to vehicles' mobility, it becomes rather inefficient to establish end-to-end connections in VCCNs. Consequently, content packets are usually sent back to the requesting node via different paths in VCCNs. To improve network performance of VCCNs, node mobility should be exploited for vehicles to serve as relays and to carry data for delivery. In this paper, we propose a scheme called cooperative caching based on mobility prediction (CCMP) for VCCNs. The main idea of CCMP is to cache popular contents at a set of mobile nodes that may visit the same hot spot areas repeatedly. In our CCMP scheme, we use prediction based on partial matching to predict mobile nodes' probability of reaching different hot spot regions based on their past trajectories. Vehicles with longer sojourn time in a hot region can provide more services and should be preferred as caching nodes. To solve the problem of limited buffer at each node, we design a cache replacement based on content popularity to guarantee that only popular contents are cached. We evaluate CCMP through the opportunistic network environment simulator for its salient features in success ratio and content access delay compared to other state-of-the-art schemes.
机译：车辆内容中心网络（VCCNS）出现为要部署在丰富的车辆通信应用中的强大候选者。由于车辆的移动性，在VCCNS中建立端到端连接变得相当低效。因此，内容分组通常通过Vccns中的不同路径发送回请求节点。为了提高VCCN的网络性能，应利用节点移动性以用于车辆作为继电器并携带数据以进行数据。在本文中，我们提出了一种基于vccns的移动预测（CCMP）的协作缓存的方案。 CCMP的主要思想是在一组可能反复访问相同的热点区域的一组移动节点上缓存流行内容。在我们的CCMP方案中，我们使用基于部分匹配的预测来预测基于过去的轨迹到达不同热点区域的移动节点的概率。在热区域中占用时间较长的车辆可以提供更多服务，并且应该优选为缓存节点。为了解决每个节点上有限缓冲区的问题，我们根据内容流行度设计缓存替换，以保证只缓存流行内容。我们通过机会网络环境模拟器评估CCMP，与其他最先进的方案相比，通过机会化网络环境模拟器进行成功比率和内容访问延迟。

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