Advances in Applied Probability
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A critical constant for the k nearest-neighbour model

Paul Balister, Béla Bollobás, Amites Sarkar, and Mark Walters

Source: Adv. in Appl. Probab. Volume 41, Number 1 (2009), 001-012.

Abstract

Let 𝓟 be a Poisson process of intensity 1 in a square Sn of area n. For a fixed integer k, join every point of 𝓟 to its k nearest neighbours, creating an undirected random geometric graph Gn,k. We prove that there exists a critical constant ccrit such that, for cccrit, Gn,⌊clogn⌋ is disconnected with probability tending to 1 as n →∞ and, for cccrit, Gn,⌊clogn⌋ is connected with probability tending to 1 as n →∞. This answers a question posed in Balister et al. (2005).

Primary Subjects: 05C80
Secondary Subjects: 82B43
Keywords: Random geometric graph; connectivity; Poisson process

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aap/1240319574
Digital Object Identifier: doi:10.1239/aap/1240319574
Zentralblatt MATH identifier: 1160.05333

References

Balister, P., Bollobás, B., Sarkar, A. and Walters, M. (2005). Connectivity of random $k$-nearest-neighbour graphs. Adv. Appl. Prob. 37, 1--24.
Mathematical Reviews (MathSciNet): MR2135151
Digital Object Identifier: doi:10.1239/aap/1113402397
Project Euclid: euclid.aap/1113402397
Zentralblatt MATH: 1079.05086
Xue, F. and Kumar, P. R. (2004). The number of neighbors needed for connectivity of wireless networks. Wireless Networks 10, 169--181.
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