Probabilistic bounds on the length of a longest edge in Delaunay graphs of random points in d-dimensions
Document Type
Article
Publication Date
1-1-2015
Abstract
Motivated by low energy consumption in geographic routing in wireless networks, there has been recent interest in determining bounds on the length of edges in the Delaunay graph of randomly distributed points. Asymptotic results are known for random networks in planar domains. In this paper, we obtain upper and lower bounds that hold with parametric probability in any dimension, for points distributed uniformly at random in domains with and without boundary. The results obtained are asymptotically tight for all relevant values of such probability and constant number of dimensions, and show that the overhead produced by boundary nodes in the plane holds also for higher dimensions. To our knowledge, this is the first comprehensive study on the lengths of long edges in Delaunay graphs.
Publication Title
Computational Geometry: Theory and Applications
First Page Number
134
Last Page Number
146
DOI
10.1016/j.comgeo.2014.08.008
Recommended Citation
Arkin, Esther M.; Fernández Anta, Antonio; Mitchell, Joseph S.B.; and Mosteiro, Miguel A., "Probabilistic bounds on the length of a longest edge in Delaunay graphs of random points in d-dimensions" (2015). Kean Publications. 1933.
https://digitalcommons.kean.edu/keanpublications/1933