Constructing Independent Spanning Trees in Alternating Group Networks

Jie Fu Huang, Sun Yuan Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In a graph G, two spanning trees and are rooted at the same vertex r. If for every the paths from v to the root r in and are internally vertex-disjoint, they are independent spanning trees (ISTs). ISTs have numerous applications, such as secure message distribution and fault-tolerant broadcasting. The alternating group network (n stands for the dimension) is a subclass of Cayley graphs, and the approach of constructing ISTs in has not been proposed until now. In this paper, we propose a recursive algorithm for constructing ISTs in. The algorithm is a top-down approach, and the parent of one node in an IST is not determined by any rule. The correctness of the algorithm is verified, and the time complexity is analyzed. We use PHP to implement the algorithm and test cases from. The testing results show that all trees are ISTs in all cases. We conclude that our algorithm is not only correct but also efficient.

Original languageEnglish
Title of host publicationComputing and Combinatorics - 26th International Conference, COCOON 2020, Proceedings
EditorsDonghyun Kim, R.N. Uma, Zhipeng Cai, Dong Hoon Lee
PublisherSpringer Science and Business Media Deutschland GmbH
Pages198-209
Number of pages12
ISBN (Print)9783030581497
DOIs
Publication statusPublished - 2020
Event26th International Conference on Computing and Combinatorics, COCOON 2020 - Atlanta, United States
Duration: 2020 Aug 292020 Aug 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12273 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Conference on Computing and Combinatorics, COCOON 2020
Country/TerritoryUnited States
CityAtlanta
Period20-08-2920-08-31

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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