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Improving decoding efficiency of opportunistic network coding via efficient data caching

机译:通过高效数据缓存提高机会网络编码的解码效率

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Existing network coding architectures such as COPE in wireless networks depend on opportunistic listening to improve network throughput. Data cache management for the purpose of decoding to enhance the performance gain of network coding has not been deeply investigated. In this paper, we present a general model to address this problem, aiming at improving decoding efficiency of network coding and thus exploiting network throughput gain. We formulate the caching policy design as an optimization problem for maximizing caching decoding efficiency. Based on the model, we propose a distributed network coding caching policy(NCP) where each node independently manages the cache to maximize decoding efficiency. We theoretically analyze the performance improvement of NCP over COPE. We also use simulation experiments based on ns2 to validate our analytical model and verify the performance gain.
机译:现有网络编码架构,如无线网络中的应对依赖于机会侦听以提高网络吞吐量。为了解码以增强网络编码的性能增益的数据缓存管理尚未深入研究。在本文中,我们提出了一个解决这个问题的一般模型,旨在提高网络编码的解码效率,从而利用网络吞吐量增益。我们将缓存策略设计制定为最大化缓存解码效率的优化问题。基于该模型,我们提出了一个分布式网络编码缓存策略(NCP),其中每个节点独立地管理高速缓存以最大化解码效率。理论上,从理论上分析了NCP对应对的性能改进。我们还使用基于NS2的仿真实验来验证我们的分析模型并验证性能增益。

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