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Constructing tri-CISTs in shuffle-cubes

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Abstract

Let \({\mathcal {T}}=\{T_1,T_2,\ldots ,T_k\}\) be a set of \(k\geqslant 2\) spanning trees in a graph G. The k spanning trees are called completely independent spanning trees (CISTs for short) if the paths joining every pair of vertices x and y in any two trees have neither vertex nor edge in common except for x and y. Particularly, \({\mathcal {T}}\) is called a dual-CIST (resp. tri-CIST) provided \(k=2\) (resp. \(k=3\)). From an algorithmic point of view, the problem of finding a dual-CIST in a given graph is known to be NP-hard. For data transmission applications in reliable networks, the existence of a dual-CIST can provide a configuration of fault-tolerant routing called protection routing. The presence of a tri-CIST can enhance the dependability of transmission and carry out secure message distribution for confidentiality. Recently, the construction of a dual-CIST has been proposed in a shuffle-cube \(SQ_n\), which is an innovative hypercube-variant network that possesses both short diameter and connectivity advantages. This paper uses the CIST-partition technique to construct a tri-CIST of \(SQ_6\), and shows that the diameters of three CISTs are 22, 22, and 13. Then, by the hierarchical structure of \(SQ_n\), we propose a recursive algorithm for constructing a tri-CIST for high-dimensional shuffle-cubes. When \(n\geqslant 10\), the diameters of \(T_i\), \(i=1,2,3\), we constructed for \(SQ_n\) are as follows: \(2n+11\), \(2n+9\), and \(2n+1\).

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Notes

  1. The searching algorithm is implemented by a C program running in a computer with 3.40 GHz Intel® Core™ i7-3770 CPU and 8 GB RAM under the Linux operating system, which takes about 105 h for searching a feasible tri-CIST partition of \(SQ_6\).

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Acknowledgements

This research was supported by the Ministry of Science and Technology of Taiwan under Grant MOST110-2221-E-141-004 (J.-M. Chang).

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Correspondence to Jou-Ming Chang.

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Chen, YH., Pai, KJ., Lin, HJ. et al. Constructing tri-CISTs in shuffle-cubes. J Comb Optim 44, 3194–3211 (2022). https://doi.org/10.1007/s10878-022-00863-0

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