加权顶点图中的广播

Hovhannes A. Harutyunyan, Shahin Kamali
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引用次数: 5

摘要

本文提出了一种新的通信网络信息传播模型。该模型是在网络上定义的,其中节点被赋予一些权重,表示它们在向邻居发送数据之前应该通过的内部延迟。这种被称为加权顶点模型的新模型在并行计算和卫星地面网络中得到了实际应用。作为经典模型的推广,加权顶点模型的最优广播是NP_Hard。在某些加权顶点图中,问题仍然是NP_Hard。我们证明了在加权顶点模型中广播问题的近似算法的存在性,以及加权图的特定子类的更好的近似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Broadcasting in Weighted-Vertex Graphs
In this paper a new model for information dissemination in communication network is presented. The model is defined on networks in which nodes are assigned some weights representing the internal delay they should pass before sending data to their neighbors. The new model, called weighted-vertex model, comes to have real world applications in parallel computation and satellite terrestrial networks. As a generalization of the classical model, optimum broadcasting in weighted-vertex model is NP_Hard. The problem remains NP_Hard in some classes of weighed-vertex graphs. We show existence of approximation algorithms for the broadcasting problem in weighted vertex model, as well as better approximations for specific subclasses of weighted graphs.
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