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Cooperative caching for content dissemination in vehicular networks

机译:协作缓存以在车载网络中传播内容

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摘要

The explosive growth of mobile data traffic has made cellular operators to seek low-cost alternatives for cellular traffic off-loading. In this paper, we consider a content delivery network where a vehicular communication network composed of roadside units (RSUs) is integrated into a cellular network to serve as an off-loading platform. Each RSU subjecting to its storage capacity caches a subset of the contents of the central content server. Allocating the suitable subset of contents in each RSU cache such that maximizes the hit ratio of vehicles requests is a problem of paramount value that is targeted in this study. First, we propose a centralized solution in which, we model the cache content placement problem as a submodular maximization problem and show that it is NP-hard. Second, we propose a distributed cooperative caching scheme, in which RSUs in an area periodically share information about their contents locally and thus update their cache. To this end, we model the distributed caching problem as a strategic resource allocation game that achieves at least 50% of the optimal solution. Finally, we evaluate our scheme using simulation for urban mobility simulator under realistic conditions. On average, the results show an improvement of 8% in the hit ratio of the proposed method compared with other well-known cache content placement approaches.
机译:移动数据业务的爆炸性增长已使蜂窝运营商寻求低成本的替代方案来减轻蜂窝业务的负担。在本文中,我们考虑一个内容交付网络,其中将由路边单元(RSU)组成的车辆通信网络集成到蜂窝网络中,以作为卸载平台。每个受其存储容量限制的RSU都会缓存中央内容服务器内容的子集。在每个RSU缓存中分配适当的内容子集,以使车辆请求的命中率最大化,是本研究针对的最重要的问题。首先,我们提出了一个集中式解决方案,其中,我们将缓存内容放置问题建模为次模最大化问题,并证明它是NP难的。其次,我们提出了一种分布式协作式缓存方案,其中区域中的RSU定期在本地共享有关其内容的信息,从而更新其缓存。为此,我们将分布式缓存问题建模为一种战略性资源分配博弈,该博弈可实现至少50%的最佳解决方案。最后,我们在现实条件下使用针对城市交通模拟器的仿真来评估我们的方案。平均而言,结果表明,与其他众所周知的缓存内容放置方法相比,该方法的命中率提高了8%。

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