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Optimal Art Gallery Localization is NP-hard
Computational Geometry ( IF 0.4 ) Pub Date : 2020-01-23 , DOI: 10.1016/j.comgeo.2020.101607
Prosenjit Bose , Jean-Lou De Carufel , Alina Shaikhet , Michiel Smid

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 pP: for each tower tTV(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.



中文翻译:

最佳画廊本地化很难

画廊本地化(AGL)是将广播塔的集合T放置在一个简单的多边形P中的问题,目的是使一个点将其自身定位在内部。对于任何一点pP:对于每个塔 ŤŤVp (哪里 Vp表示能见度多边形p)的点p接收的坐标和之间的欧几里德距离p。根据该信息,p可以确定其坐标。我们研究了AGL问题的计算复杂性。我们表明,确定可以将点定位在简单多边形P中任何位置的广播塔的最小数量的问题是NP-难的。我们展示了从布尔三可满足性问题到我们的问题的减少,并证明了减少需要多项式时间。

更新日期:2020-01-23
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