×

A critical constant for the \(k\) nearest-neighbour model. (English) Zbl 1160.05333

Summary: Let \(\mathcal P\) be a Poisson process of intensity 1 in a square \(S_n\) of area \(n\). For a fixed integer \(k\), join every point of \(\mathcal P\) to its \(k\) nearest neighbours, creating an undirected random geometric graph \(G_{n,k}\). We prove that there exists a critical constant \(c_{\text{crit}}\) such that, for \(c< c_{\text{crit}}\), \(G_{n,\lfloor c\log n\rfloor} \) is disconnected with probability tending to 1 as \(n \rightarrow \infty \) and, for \(c> c_{\text{crit}}\), \(G_{n,\lfloor c\log n\rfloor} \) is connected with probability tending to 1 as \(n \rightarrow \infty \). This answers a question posed in [P. Balister, B. Bollobás, A. Sarkar, and M. Walters, Adv. Appl. Probab. 37, No.1, 1–24 (2005; Zbl 1079.05086)].

MSC:

05C80 Random graphs (graph-theoretic aspects)
05C40 Connectivity
60G55 Point processes (e.g., Poisson, Cox, Hawkes processes)
82B43 Percolation

Citations:

Zbl 1079.05086

References:

[1] Balister, P., Bollobás, B., Sarkar, A. and Walters, M. (2005). Connectivity of random \(k\)-nearest-neighbour graphs. Adv. Appl. Prob. 37 , 1–24. · Zbl 1079.05086 · doi:10.1239/aap/1113402397
[2] Xue, F. and Kumar, P. R. (2004). The number of neighbors needed for connectivity of wireless networks. Wireless Networks 10 , 169–181.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.