Bounded-Angle Spanning Tree: Modeling Networks with Angular Constraints
Abstract
We introduce a new structure for a set of points in the plane and an angle α, which is similar in flavor to a bounded-degree MST. We name this structure α-MST. Let P be a set of points in the plane and let 0 < α 2π be an angle. An α-ST of P is a spanning tree of the complete Euclidean graph induced by P, with the additional property that for each point p ∈ P, the smallest angle around p containing all the edges adjacent to p is at most α. An α-MST of P is then an α-ST of P of minimum weight. For α < π/3, an α-ST does not always exist, and, for α π/3, it always exists. In this paper, we study the problem of computing an α-MST for several common values of α. Motivated by wireless networks, we formulate the problem in terms of directional antennas. With each point p ∈ P, we associate a wedge Wp of angle α and apex p. The goal is to assign an orientation and a radius rp to each wedge Wp, such that the resulting graph is connected and its MST is an α-MST. (We draw an edge between p and q if p ∈ Wq, q ∈ Wp, and |pq| rp, rq.) Unsurprisingly, the problem of computing an α-MST is NP-hard, at least for α=π and α=2π/3. We present constant-factor approximation algorithms for α = π/2, 2π/3, π. One of our major results is a surprising theorem for α = 2π/3, which, besides being interesting from a geometric point of view, has important applications. For example, the theorem guarantees that given any set P of 3n points in the plane and any partitioning of the points into n triplets, one can orient the wedges of each triplet independently, such that the graph induced by P is connected. We apply the theorem to the antenna conversion problem.
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