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Probabilistic distributed algorithm for uniform election in polyo-triangular grid graphs

机译:三角网格图中均匀选举的概率分布算法

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Electing in a network is to chose one and only one element in this network. The element can be used later to manage the resource sharing (printer, connection, ...) or centralize some of the network informations (size, diameter ...). In this case, many algorithms are available under different topologies and applicable under appropriate assumptions; the uniform election in trees [1], k-trees [2], polyominoides [3], and triangular grid graph [4]. The work presented here is a continuation of our last researches. Indeed, we introduce a probabilistic algorithm for uniform election in a polyo-tg graph. thereby and first, we will discuss the rules that allow us to generate in distributed manner such family of graphs. Then we present the different rules of the elimination process of our algorithm. These rules are executed in parallel with every active vertex of the network. In a second time, we analytically analyse this process. To do so, we modelled by a continuously Markov death process. We show, therefore, that our algorithm is totally fair such that all the vertices have the same probability to be elected.
机译:在网络中进行选举是在该网络中选择一个且只有一个元素。以后可以使用该元素来管理资源共享(打印机,连接等)或集中某些网络信息(尺寸,直径等)。在这种情况下,许多算法可在不同的拓扑结构下使用,并在适当的假设下适用;树[1],k树[2],多氨基酸[3]和三角网格图[4]中的均匀选择。这里介绍的工作是我们最近研究的延续。确实,我们在polyo-tg图中引入了用于均匀选举的概率算法。因此,首先,我们将讨论允许我们以分布式方式生成此类图族的规则。然后,我们提出了算法消除过程的不同规则。这些规则与网络的每个活动顶点并行执行。第二次,我们分析了这个过程。为此,我们以连续的马尔可夫死亡过程为模型。因此,我们证明了我们的算法是完全公平的,因此所有顶点都有相同的概率被选出。

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