A Minimum Extended Connected Dominating Set in Interval Graphs with an Application to Railway Track Monitoring

Authors

  • Prodyot Ghara Research Centre in Natural and Applied Sciences, Raja N. L. Khan Women’s College, Midnapore 721102, India.
  • Mangal Pati Department of Mathematics, Asian International University, Imphal West 795113, India.
  • Sukumar Department of Mathematics, Raja N. L. Khan Women’s College, Midnapore 721102, India.
  • Sambhu Charan Barman * Department of Mathematics, Shahid Matangini Hazra Government General Degree College forWomen, Tamluk 721649, India.
  • Uma Shankar Department of Mathematics, Asian International University, Imphal West 795113, India.

https://doi.org/10.48314/tsc.v1i3.70

Abstract

For a graph G = (V, E) and a positive integer k, a set S ⊆ V is a k-extended dominating set if every vertex lies within distance one of S or has at least k distinct members of S at distance two. The minimum cardinality of such a set is denoted by γe k(G). For k = 2, a connected induced subgraph on S gives an extended connected dominating set. This paper studies structural properties of extended connected dominating sets in interval graphs whose intervals are ordered by nondecreasing right endpoint. An ordered sweep algorithm is presented for constructing a minimum extended connected dominating set under the stated selection invariants. With presorted interval endpoints and forward-only scan pointers, its running time and auxiliary storage are O(n). A railway-track monitoring example illustrates how the interval model can select a small connected sensor backbone while retaining two-hop redundancy. The application is illustrative and assumes a linear track, deterministic overlap, and equal communication ranges.

Keywords:

Extended domination, Connected dominating set, Interval graph, Linear-time sweep, Railway monitoring

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Published

2025-09-21

How to Cite

Ghara, P., Pati, M., Sukumar, Barman, S. C., & Shankar, U. (2025). A Minimum Extended Connected Dominating Set in Interval Graphs with an Application to Railway Track Monitoring. Transactions on Soft Computing , 1(3), 217-228. https://doi.org/10.48314/tsc.v1i3.70

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