English

On the metric distortion of nearest-neighbour graphs on random point sets

Networking and Internet Architecture 2008-07-18 v2 Computational Geometry

Abstract

We study the graph constructed on a Poisson point process in dd dimensions by connecting each point to the kk points nearest to it. This graph a.s. has an infinite cluster if k>kc(d)k > k_c(d) where kc(d)k_c(d), known as the critical value, depends only on the dimension dd. This paper presents an improved upper bound of 188 on the value of kc(2)k_c(2). We also show that if k188k \geq 188 the infinite cluster of \NN(2,k)\NN(2,k) has an infinite subset of points with the property that the distance along the edges of the graphs between these points is at most a constant multiplicative factor larger than their Euclidean distance. Finally we discuss in detail the relevance of our results to the study of multi-hop wireless sensor networks.

Keywords

Cite

@article{arxiv.0804.3784,
  title  = {On the metric distortion of nearest-neighbour graphs on random point sets},
  author = {Amitabha Bagchi and Sohit Bansal},
  journal= {arXiv preprint arXiv:0804.3784},
  year   = {2008}
}

Comments

This work is now subsumed by arXiv:0805.4060v4 [cs.NI]