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 1079.05086References:
[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. |
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