Efficient algorithms for network localization using cores of underlying graphs

Meng Li, Yota Otachi, Takeshi Tokuyama

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Network localization is important for networks with no prefixed positions of network nodes such as sensor networks. We are given a subset of the set of (n2) pairwise distances among n sensors in some Euclidean space. We want to determine the positions of each sensor from the (partial) distance information. The input can be seen as an edge weighted graph. In this paper, we present some efficient algorithms that solve this problem using the structures of input graphs, which we call their cores. For instance, we present a polynomial-time algorithm solving the network localization problem for graphs with connected dominating sets of bounded size. This algorithm allows us to have fixed-parameter tractable algorithms for some restricted instances such as graphs with connected vertex covers of bounded size.

Original languageEnglish
Pages (from-to)18-26
Number of pages9
JournalTheoretical Computer Science
Volume553
Issue numberC
DOIs
Publication statusPublished - 2014

Keywords

  • Chordal graph
  • Connected dominating set
  • Graph turnpike problem
  • Network localization
  • Point set reconstruction
  • Weighted graph embedding

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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