Almost Optimal Asynchronous Rendezvous in Infinite Multidimensional Grids

Two anonymous mobile agents (robots) moving in an asynchronous manner have to meet in an infinite grid of dimension delta > 0, starting from two arbitrary positions at distance at most d. Since the problem is clearly infeasible in such general setting, we assume that the grid is embedded in a delta-dimensional Euclidean space and that each agent knows the Cartesian coordinates of its own initial position (but not the one of the other agent). We design an algorithm permitting the agents to meet after traversing a trajectory of length O(d(delta) polylog d). This bound for the case of 2D -grids subsumes the main result of (12). The algorithm is almost optimal, since the Omega(d(delta)) lower bound is straightforward. Further, we apply our rendezvous method to the following network design problem. The ports of the delta-dimensional grid have to be set such that two anonymous agents starting at distance at most d from each other will always meet, moving in an asynchronous manner, after traversing a O(d(delta) polylog d) length trajectory. We can also apply our method to a version of the geometric rendezvous problem. Two anonymous agents move asynchronously in the delta-dimensional Euclidean space. The agents have the radii of visibility of tau(1) and tau(2), respectively. Each agent knows only its own initial position and its own radius of visibility. The agents meet when one agent is visible to the other one. We propose an algorithm designing the trajectory of each agent;, so that they always meet after traveling a total distance of O((d/r)(delta)polylog(d/r)), where r = min(r(1),r(2)) and for r >= 1.