Dai, Li, and Wu proposed Rule k, a localized approximation algorithm that attempts to find a small connected dominating set in a graph. In this paper we consider the "average case"performance of two closely related versions of Rule k for the model of random unit disk graphs constructed from n random points in an n
Jennie C. Hansen, Eric Schmutz, Li Sheng