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Improving decoding efficiency of opportunistic network coding via efficient data caching

机译:通过有效的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:无线网络中的现有网络编码架构(例如COPE)依赖于机会监听来提高网络吞吐量。为了解码以增强网络编码的性能增益而进行的数据高速缓存管理尚未得到深入研究。在本文中,我们提出了一个通用的模型来解决这个问题,旨在提高网络编码的解码效率,从而利用网络吞吐率增益。我们将缓存策略设计公式化为用于最大化缓存解码效率的优化问题。基于该模型,我们提出了一种分布式网络编码缓存策略(NCP),其中每个节点独立管理缓存以最大程度地提高解码效率。我们从理论上分析了NCP优于COPE的性能。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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