On the distribution of typical shortest-path lengths in connected random geometric graphs

  • Authors:
  • D. Neuhäuser;C. Hirsch;C. Gloaguen;V. Schmidt

  • Affiliations:
  • Institute of Stochastics, Ulm University, Ulm, Germany 89069;Institute of Stochastics, Ulm University, Ulm, Germany 89069;Orange Labs, Issy-les-Moulineaux, France 92794;Institute of Stochastics, Ulm University, Ulm, Germany 89069

  • Venue:
  • Queueing Systems: Theory and Applications
  • Year:
  • 2012

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Abstract

Stationary point processes in 驴2 with two different types of points, say H and L, are considered where the points are located on the edge set G of a random geometric graph, which is assumed to be stationary and connected. Examples include the classical Poisson---Voronoi tessellation with bounded and convex cells, aggregate Voronoi tessellations induced by two (or more) independent Poisson processes whose cells can be nonconvex, and so-called β-skeletons being subgraphs of Poisson---Delaunay triangulations. The length of the shortest path along G from a point of type H to its closest neighbor of type L is investigated. Two different meanings of "closeness" are considered: either with respect to the Euclidean distance (e-closeness) or in a graph-theoretic sense, i.e., along the edges of G (g-closeness). For both scenarios, comparability and monotonicity properties of the corresponding typical shortest-path lengths C e驴 and C g驴 are analyzed. Furthermore, extending the results which have recently been derived for C e驴, we show that the distribution of C g驴 converges to simple parametric limit distributions if the edge set G becomes unboundedly sparse or dense, i.e., a scaling factor 驴 converges to zero and infinity, respectively.