The Voronoi Diagram of Weakly Smooth Planar Point Sets in $O(\log n)$ Deterministic Rounds on the Congested Clique
Jesper Jansson, Christos Levcopoulos, Andrzej Lingas
TL;DR
This work addresses deterministic construction of the Voronoi diagram and its Delaunay triangulation for $n^2$ points with $O(\log n)$-bit coordinates inside the unit square on a congested clique of $n$ nodes, under a very weak $(\varepsilon,d)$-smoothness condition. It introduces a local, quadtree-based approach (DT-SQUARE) that computes the Delaunay triangulation within the unit square in $O(\log n)$ rounds, and then derives the Voronoi diagram in $O(1)$ rounds by angularly ordering the DT edges around each point. The main contributions are the $O(\log n)$-round deterministic DT construction and the subsequent $O(1)$-round Voronoi assembly, with a total message complexity of $O(n^2\log n)$. This advances deterministic geometric computation on the congested clique, linking to MPC/NC-type perspectives and leaving open the challenge of removing the smoothness assumption for general inputs.
Abstract
We study the problem of computing the Voronoi diagram of a set of $n^2$ points with $O(\log n)$-bit coordinates in the Euclidean plane in a substantially sublinear in $n$ number of rounds in the congested clique model with $n$ nodes. Recently, Jansson et al. have shown that if the points are uniformly at random distributed in a unit square then their Voronoi diagram within the square can be computed in $O(1)$ rounds with high probability (w.h.p.). We show that if a very weak smoothness condition is satisfied by an input set of $n^2$ points with $O(\log n)$-bit coordinates in the unit square then the Voronoi diagram of the point set within the unit square can be computed in $O(\log n)$ rounds in this model.
