The MIR Voronoi diagram appears with the notion of good illumination introduced in [3, 4]. This illumination concept generalizes well-covering [7] and triangle guarding [9]. The MIR Voronoi diagram merges the notions of proximity and convex dependency. Given a set S of planar light sources, for each point q in the plane we search for the subset Sq ⊂ S nearest to q and such that q is an interior point of the convex hull of Sq. The furthest point to q in Sq is called the Minimum Illumination Range point (MIR point) of q with respect to S. The MIR Voronoi diagram splits the interior of the convex hull of S into several regions, associating each point in S to its MIR point. This diagram is motivated by optimization problems on good illumination.
[1]
Manuel Abellanas Oar,et al.
Good illumination of points and line segments with limited range lights
,
2005
.
[2]
William S. Evans,et al.
Triangle Guarding
,
2003,
CCCG.
[3]
Joseph S. B. Mitchell,et al.
Approximation algorithms for two optimal location problems in sensor networks
,
2005,
2nd International Conference on Broadband Networks, 2005..
[4]
Herbert Edelsbrunner,et al.
Algorithms in Combinatorial Geometry
,
1987,
EATCS Monographs in Theoretical Computer Science.
[5]
Jorge Urrutia,et al.
Art Gallery and Illumination Problems
,
2000,
Handbook of Computational Geometry.