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Using known vectors to improve data dissemination in opportunistic networks

机译:使用已知向量改善机会网络中的数据传播

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摘要

An opportunistic network is a type of challenged network in which contacts are intermittent, an end-to-end path rarely exists between the source and the destination, disconnection and reconnection are common occurrences, and link performance is highly variable or extreme. Conventional methods of data dissemination in opportunistic networks rely on a meta-message exchange scheme, called the summary vector (SV), to prevent redundant transmission of data bundles that already exist on receivers. We consider that the SV scheme is costly in terms of the data transmission overhead, which is unaffordable in opportunistic networks. Hence, we propose an alternative scheme, called the known vector (KV), to improve the efficiency of meta-message exchanges for data transmission in opportunistic networks. Using a comprehensive set of simulations with realistic network scenarios, we demonstrate that the KV scheme can be easily integrated into existing opportunistic network routing protocols (e.g., Epidemic and PRoPHET routing). Moreover, it can reduce the communication overhead significantly, thereby improving energy efficiency for data transmission in opportunistic networks.
机译:机会网络是一种挑战网络,其中的联系是间歇性的,源和目的地之间很少存在端到端路径,断开连接和重新连接是常见的情况,并且链路性能变化很大或极端。机会网络中的常规数据分发方法依赖于称为摘要矢量(SV)的元消息交换方案,以防止接收器上已经存在的数据束冗余传输。我们认为SV方案在数据传输开销方面是昂贵的,这在机会网络中是无法承受的。因此,我们提出了另一种方案,称为已知向量(KV),以提高用于机会网络中数据传输的元消息交换的效率。通过在现实网络场景中使用一组全面的模拟,我们证明了KV方案可以轻松集成到现有的机会网络路由协议(例如Epidemic和PRoPHET路由)中。此外,它可以大大减少通信开销,从而提高机会网络中数据传输的能源效率。

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