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A General Approach to L(h,k)-Labe Interconnection Networks

机译:L(h,k)-Labe互连网络的通用方法

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Given two non-negative integers h and k, an L(h, k)-labeling of a graph G = (V, E) is a function from the set V to a set of colors, such that adjacent nodes take colors at distance at least h, and nodes at distance 2 take colors at distance at least k. The aim of the L(h, k)-labeling problem is to minimize the greatest used color. Since the decisional version of this problem is NP-complete, it is important to investigate particular classes of graphs for which the problem can be efficiently solved. It is well known that the most common interconnection topologies, such as Butterfly-like, Benes, CCC, Trivalent Cayley networks, are all characterized by a similar structure: they have nodes organized as a matrix and connections are divided into layers. So we naturally introduce a new class of graphs, called (l × n)-multistage graphs, containing the most common interconnection topologies, on which we study the L(h, k)-labeling. A general algorithm for L(h, k)-labeling these graphs is presented, and from this method an efficient L(2, 1)-labeling for Butterfly and CCC networks is derived. Finally we describe a possible generalization of our approach.
机译:给定两个非负整数h和k,图G =(V,E)的L(h,k)标记是从集合V到颜色集合的函数,以便相邻节点在一定距离处获得颜色至少h,并且距离2处的节点在距离k处着色。 L(h,k)标记问题的目的是最大程度地减少使用最多的颜色。由于此问题的决策版本是NP完全的,因此研究可以有效解决问题的特定类别的图很重要。众所周知,最常见的互连拓扑(例如蝴蝶状,贝恩斯,CCC,三价Cayley网络)都具有相似的结构特征:它们的节点组织为矩阵,并且连接分为几层。因此,我们自然会引入一类新的图,称为(l×n)-多级图,其中包含最常见的互连拓扑,我们在该图上研究L(h,k)标记。提出了对这些图进行L(h,k)标记的通用算法,并从该方法中获得了蝶形和CCC网络的有效L(2,1)标记。最后,我们描述了我们方法的可能概括。

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