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An Efficient Silent Self-Stabilizing 1-Maximal Matching Algorithm in Anonymous Networks

机译:匿名网络中高效的静音自稳定1-最大匹配算法

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We propose a new self-stabilizing 1-maximal matching algorithm which is silent and works for any anonymous networks without a cycle of length of a multiple of 3 under a central unfair daemon. The 1-maximal matching is a 2/3-approximation to the maximum matching, and expected to get more matching pairs than a maximal matching, which only guarantees a 1/2-approximation. The time complexity of the proposed algorithm is O ( e ) moves, which is O ( n ) moves if we restrict the topology to trees or rings whose length is not a multiple of 3, where n and e be the numbers of nodes and edges in a graph, respectively. The best existing result for 1-maximal matching for anonymous networks is an algorithm of Goddard et al. which works for anonymous trees and anonymous rings whose length is not a multiple of 3 under a central daemon, and the time complexity is O ( n 4) moves. Therefore, the result in this paper is a significant improvement from the best existing results.
机译:我们提出了一种新的自稳定的1-maximum匹配算法,该算法是无声的,适用于在中央不公平守护程序下长度为3的整数倍的任何匿名网络。 1最大匹配是最大匹配的2/3近似值,并且期望获得比最大匹配更多的匹配对,而最大匹配只能保证1/2近似值。该算法的时间复杂度为O(e)移动,如果我们将拓扑限制为长度不为3的倍数的树或环,则为O(n)移动,其中n和e为节点和边的数目分别在图中。匿名网络1-最大匹配的最佳现有结果是Goddard等人的算法。它适用于在中央守护程序下长度不为3的倍数的匿名树和匿名环,并且时间复杂度为O(n 4 )个移动。因此,本文的结果是对现有最佳结果的重大改进。

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