Optimal Art Gallery Localization is NP-hard

06/25/2017
by   Prosenjit Bose, et al.
0

Art Gallery Localization (AGL) is the problem of placing a set T of broadcast towers in a simple polygon P in order for a point to locate itself in the interior. For any point p ∈ P: for each tower t ∈ T ∩ V(p) (where V(p) denotes the visibility polygon of p) the point p receives the coordinates of t and the Euclidean distance between t and p. From this information p 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 P 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/21/2017

Art Gallery Localization

We study the problem of placing a set T of broadcast towers in a simple ...
research
12/08/2021

The Complexity of the Hausdorff Distance

We investigate the computational complexity of computing the Hausdorff d...
research
07/07/2021

Minimum Constraint Removal Problem for Line Segments is NP-hard

In the minimum constraint removal (MCR), there is no feasible path to mo...
research
07/07/2021

A new metaheuristic approach for the art gallery problem

In the problem "Localization and trilateration with the minimum number o...
research
08/09/2018

A Note on the Flip Distance Problem for Edge-Labeled Triangulations

For both triangulations of point sets and simple polygons, it is known t...
research
02/16/2022

The Pareto cover problem

We introduce the problem of finding a set B of k points in [0,1]^n such ...
research
10/16/2019

On the Computational Complexity of Finding a Sparse Wasserstein Barycenter

The discrete Wasserstein barycenter problem is a minimum-cost mass trans...

Please sign up or login with your details

Forgot password? Click here to reset