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An efficient 3-approximation algorithm for the Steiner tree problem with the minimum number of Steiner points and bounded edge length

Title
An efficient 3-approximation algorithm for the Steiner tree problem with the minimum number of Steiner points and bounded edge length
Author(s)
Shin, DonghoonChoi, Sunghee
Issued Date
2023-11
Citation
PLoS ONE, v.18, no.11
Type
Article
ISSN
1932-6203
Abstract
We present improved algorithms for the Steiner tree problem with the minimum number of Steiner points and bounded edge length. Given n terminal points in a 2D Euclidean plane and an edge length bound, the problem asks to construct a spanning tree of n terminal points with minimal Steiner points such that every edge length of the spanning tree is within the given bound. This problem is known to be NP-hard and has practical applications such as relay node placements in wireless networks, wavelength-division multiplexing(WDM) optimal network design, and VLSI design. The best-known deterministic approximation algorithm has O(n3) running time with an approximation ratio of 3. This paper proposes an efficient approximation algorithm using the Voronoi diagram that guarantees an approximation ratio of 3 in O(n log n) time. We also present the first exact algorithm to find an optimal Steiner tree for given three terminal points in constant time. Using this exact algorithm, we improve the 3-approximation algorithm with better performance regarding the number of required Steiner points in O(n log n) time. © 2023 Shin, Choi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
URI
http://hdl.handle.net/20.500.11750/47652
DOI
10.1371/journal.pone.0294353
Publisher
Public Library of Science
Related Researcher
  • 신동훈 Shin, Donghoon
  • Research Interests Theory of Computation; Wireless Sensor Networks; Security for Critical Infrastructure
Files in This Item:
001124507900035.pdf

001124507900035.pdf

기타 데이터 / 2.61 MB / Adobe PDF download
Appears in Collections:
Department of Electrical Engineering and Computer Science Computational Theory and Applications Laboratory 1. Journal Articles

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