English

Optimal Art Gallery Localization is NP-hard

Computational Geometry 2018-11-30 v3

Abstract

Art Gallery Localization (AGL) is the problem of placing a set TT of broadcast towers in a simple polygon PP in order for a point to locate itself in the interior. For any point pPp \in P: for each tower tTV(p)t \in T \cap V(p) (where V(p)V(p) denotes the visibility polygon of pp) the point pp receives the coordinates of tt and the Euclidean distance between tt and pp. From this information pp can determine its coordinates. We study the computational complexity of AGL problem. We show that the problem of determining the minimum number of broadcast towers that can localize a point anywhere in a simple polygon PP is NP-hard. We show a reduction from Boolean Three Satisfiability problem to our problem and give a proof that the reduction takes polynomial time.

Keywords

Cite

@article{arxiv.1706.08016,
  title  = {Optimal Art Gallery Localization is NP-hard},
  author = {Prosenjit Bose and Jean-Lou De Carufel and Alina Shaikhet and Michiel Smid},
  journal= {arXiv preprint arXiv:1706.08016},
  year   = {2018}
}

Comments

12 pages; 13 figures; submitted to the Journal of Computational Geometry: Theory and Applications

R2 v1 2026-06-22T20:28:41.091Z