Asymptotic critical transmission radii in random geometry graphs over three-dimensional regions
Jie Ding, Shuai Ma, Xiang Wei, Xiaohua Xu, Xinshan Zhu
TL;DR
The work determines the precise asymptotic distributions of critical transmission radii for random geometric graphs on 3D regions, addressing both k-connectivity and minimum-degree criteria. It introduces an explicit radius form $r_n=\left(\dfrac{\log n+(\tfrac{3k}{2}-1)\log\log n+\xi}{\pi n}\right)^{1/3}$ with $\xi$ tied to the boundary area via $\mathrm{Area}(\partial\Omega)\frac{e^{-\frac{2\xi}{3}}}{\pi^{1/3}}(\frac{2}{3})^k\frac{1}{k!}=e^{-c}$, and proves that $n\int_{\Omega} \psi^k_{n,r}(x)\,dx\to e^{-c}$ leading to $\Pr\{\rho(\chi_n;\delta\ge k+1)\le r_n\}\to e^{-e^{-c}}$ and $\Pr\{\rho(\chi_n;\kappa\ge k+1)\le r_n\}\to e^{-e^{-c}}$. The analysis combines Poissonization/de-Poissonization with refined near-boundary geometry, extending two-dimensional techniques to 3D and revealing explicit boundary-driven corrections absent in 2D.
Abstract
This article presents the precise asymptotical distribution of two types of critical transmission radii, defined in terms of k-connectivity and the minimum vertex degree, for random geometry graphs distributed over three-dimensional regions.
