Centroidal Localization Game
Bartłomiej Bosek, Przemysław Gordinowicz, Jarosław Grytczuk, Nicolas Nisse, Joanna Sokół, Małgorzata Śleszyńska-Nowak
Source abstract
One important problem in a network is to locate an (invisible) moving entity by using distance-detectors placed at strategical locations in . For instance, the famous metric dimension of a graph is the minimum number of detectors placed in some vertices such that the vector of the distances between the detectors and the entity's location allows to uniquely determine for every . In a more realistic setting, each device does not get the exact distance to the entity's location. Rather, given locating devices placed in , we get only relative distances between the moving entity's location and the devices (roughly, for every , it is provided whether , , or to ). The centroidal dimension of a graph is the minimum number of devices required to locate the entity, in one step, in this setting.In this paper, we consider the natural generalization of the latter problem, where vertices may be probed sequentially (i.e., in several steps) until the moving entity is located. Roughly, at every turn, a set of vertices are probed and then the relative order of the distances between the vertices and the current location of the moving entity is given. If it not located, the moving entity may move along one edge. Let be the minimum such that the entity is eventually located, whatever it does, in the graph . We first prove that for every tree and give an upper bound on for the cartesian product of graphs and . Our main result is that for any outerplanar graph . We then prove that is bounded by the pathwidth of plus 1 and that the optimization problem of determining is NP-hard in general graphs. Finally, we show that approximating (up to a small constant distance) the location of the robber in the Euclidean plane requires at most two vertices per turn.
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