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

dc.creatorBagchi, Amitabha
dc.creatorBansal, Sohit
dc.date2008-04-23
dc.date2008-07-18
dc.date.accessioned2026-07-07T09:50:50Z
dc.date.available2026-07-07T09:50:50Z
dc.descriptionWe study the graph constructed on a Poisson point process in $d$ dimensions by connecting each point to the $k$ points nearest to it. This graph a.s. has an infinite cluster if $k > k_c(d)$ where $k_c(d)$, known as the critical value, depends only on the dimension $d$. This paper presents an improved upper bound of 188 on the value of $k_c(2)$. We also show that if $k \geq 188$ the infinite cluster of $\NN(2,k)$ 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.
dc.descriptionThis work is now subsumed by arXiv:0805.4060v4 [cs.NI]
dc.identifierhttps://arxiv.org/abs/0804.3784
dc.identifierhttp://arxiv.org/abs/0804.3784
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/165081
dc.subjectNetworking and Internet Architecture
dc.subjectComputational Geometry
dc.titleOn the metric distortion of nearest-neighbour graphs on random point sets
dc.typetext

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