Embedding spanning disjoint cycles in enhanced hypercube networks with prescribed vertices in each cycle
Hongwei Qiao,
Jixiang Meng and
Eminjan Sabir
Applied Mathematics and Computation, 2022, vol. 435, issue C
Abstract:
Embedding cycles into a network topology is crucial for the network simulation. In particular, embedding Hamiltonian cycles is a major requirement for designing good interconnection networks. A graph G is called k-spanning cyclable if, for any k distinct vertices v1,v2,…,vk of G, there exist k cycles C1,C2,…,Ck in G such that vi is on Ci for every i, and every vertex of G is on exactly one cycle Ci. If k=1, this is the classical Hamiltonian problem. In this study, we focus on embedding spanning disjoint cycles in enhanced hypercube networks and show that the n-dimensional enhanced hypercube Qn,m is k-spanning cyclable if k≤n and n≥4, and k-spanning cyclable if k≤n−1 and n=2,3. Moreover, the results are optimal with respect to the degree of Qn,m, and some experimental examples are provided to verify the theoretical results.
Keywords: Enhanced Hypercubes; Spanning cyclable; Hamiltonian cycles; Disjoint cycles (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:435:y:2022:i:c:s0096300322005550
DOI: 10.1016/j.amc.2022.127481
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