Kinetic Maintenance of Mobile k-Centres on Trees

Abstract

Let C denote a set of n mobile clients, each of which follows a continuous trajectory on a weighted tree T. We establish tight bounds on the maximum relative velocity of the 1-centre and 2-centre of C. When each client in C moves with linear motion along a path on T we derive a tight bound of Θ(n) on the complexity of the motion of the 1-centre and corresponding bounds of O(n 2 α(n)) and Ω(n 2) for a 2-centre, where α(n) denotes the inverse Ackermann function. We describe efficient algorithms for calculating the trajectories of the 1-centre and 2-centre of C: the 1-centre can be found in optimal time O(n logn) when the distance function between mobile clients is known or O(n 2) when the function must be calculated, and a 2-centre can be found in time O(n 2 logn). These algorithms lend themselves to implementation within the framework of kinetic data structures, resulting in structures that are compact, efficient, responsive, and local.KeywordsConvex HullLinear MotionGraph DistanceMobile ClientWeighted TreeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.