Self-stabilizing algorithm - Finding the most vital edge in the minimum spanning tree

碩士 === 國立臺灣科技大學 === 資訊管理系 === 96 === Finding the most vital edge problem in a minimum spanning tree is to calculate the vital number of every nodes. If the vital value of node i is the largest one, then the tree-edge connected by this node and its parent is the most vital edge[13]. In order to find...

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Bibliographic Details
Main Authors: Chi-Yuan Lo, 羅啟源
Other Authors: Chiun-Chieh Hsu
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/93195855277568624086
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Summary:碩士 === 國立臺灣科技大學 === 資訊管理系 === 96 === Finding the most vital edge problem in a minimum spanning tree is to calculate the vital number of every nodes. If the vital value of node i is the largest one, then the tree-edge connected by this node and its parent is the most vital edge[13]. In order to find the most vital edge in a network, we can pre-estimate the loss of our cost and go to find an optimal alternative tree-edge to keep the connectedness of a minimum spanning tree. In the present research on the most vital edge, they always adopt the traditional algorithm to solve this kind of problem, and never use the self-stabilizing algorithm. So in this thesis, we propose a brand new self-stabilizing algorithm with the central daemon contained thirteen rules for this problem, and guarantee that will be converged in O(n2) eventually, where n is the number of the nodes.