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The Performance of Multimessage Algebraic Gossip in a Random Geometric Graph

机译:随机几何图中多消息代数八卦的性能

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Gossip algorithm has been widely regarded as a simple and efficient method to improve quality of service (QoS) in large-scale network which requires rapid information dissemination. In this paper, information dissemination based on algebraic gossip in a random geometric graph (RGG) is considered. Thennodes only have knowledge about their own contents. In every time slot, each node communicates with a neighbor partner chosen randomly. The goal is to disseminate all of the messages rapidly among the nodes. We show that the gain of the convergence time isOn1/2logε-1/log1/2nwith network coding. Simulation results show that these bounds are valid for the random geometric graph and demonstrate that network coding significantly improves the bounds with the number of users increasing.
机译:在需要快速信息发布的大规模网络中,八卦算法已被广泛认为是一种提高服务质量(QoS)的简单有效的方法。本文考虑了基于随机几何图中的代数八卦的信息传播。然后,节点仅了解自己的内容。在每个时隙中,每个节点都与随机选择的邻居伙伴通信。目标是在节点之间快速分发所有消息。网络编码表明收敛时间的增益为On1 /2logε-1/ log1 / 2n。仿真结果表明,这些边界对于随机几何图是有效的,并且表明随着用户数量的增加,网络编码显着改善了边界。

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