Skip to Main content Skip to Navigation
Journal articles

Coloring Geographical Threshold Graphs

Abstract : We propose a coloring algorithm for sparse random graphs generated by the geographical threshold graph (GTG) model, a generalization of random geometric graphs (RGG). In a GTG, nodes are distributed in a Euclidean space, and edges are assigned according to a threshold function involving the distance between nodes as well as randomly chosen node weights. The motivation for analyzing this model is that many real networks (e. g., wireless networks, the Internet, etc.) need to be studied by using a ''richer'' stochastic model (which in this case includes both a distance between nodes and weights on the nodes). Here, we analyze the GTG coloring algorithm together with the graph's clique number, showing formally that in spite of the differences in structure between GTG and RGG, the asymptotic behavior of the chromatic number is identical: chi = ln n/ln ln n(1 +o(1)). Finally, we consider the leading corrections to this expression, again using the coloring algorithm and clique number to provide bounds on the chromatic number. We show that the gap between the lower and upper bound is within C ln n/(ln ln n)(2), and specify the constant C.
Document type :
Journal articles
Complete list of metadata

https://hal.inria.fr/hal-00990456
Contributor : Service Ist Inria Sophia Antipolis-Méditerranée / I3s <>
Submitted on : Tuesday, May 13, 2014 - 3:37:32 PM
Last modification on : Friday, September 6, 2019 - 10:50:02 AM
Long-term archiving on: : Monday, April 10, 2017 - 10:22:38 PM

File

1356-5542-1-PB.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00990456, version 1

Collections

Citation

Milan Bradonjic, Tobias Mueller, Allon G. Percus. Coloring Geographical Threshold Graphs. Discrete Mathematics and Theoretical Computer Science, DMTCS, 2010, 12 (3), pp.103-114. ⟨hal-00990456⟩

Share

Metrics

Record views

130

Files downloads

956