# A 4-approximation of the [Formula presented]-MST

Stav Ashur, Matthew J. Katz

Research output: Contribution to journalArticlepeer-review

## Abstract

Bounded-angle (minimum) spanning trees were first introduced in the context of wireless networks with directional antennas. They are reminiscent of bounded-degree (minimum) spanning trees, which have received significant attention. Let P be a set of n points in the plane, and let 0<α<2π be an angle. An α-spanning tree (α-ST) of P is a spanning tree of the complete Euclidean graph over P, with the following property: For each vertex pi∈P, the (smallest) angle that is spanned by all the edges incident to pi is at most α. An α-minimum spanning tree (α-MST) is an α-ST of P of minimum weight, where the weight of an α-ST is the sum of the lengths of its edges. In this paper, we consider the problem of computing an α-MST for the case where [Formula presented]. We present a 4-approximation algorithm, thus improving upon the previous results of Aschner and Katz and Biniaz et al., who presented algorithms with approximation ratios 6 and [Formula presented], respectively. To obtain this result, we devise an O(n)-time algorithm that, given any Hamiltonian path Π of P, constructs a [Formula presented]-ST T of P, such that T's weight is at most twice that of Π and, moreover, T is a 3-hop spanner of Π. This latter result is optimal (with respect to T's weight), since for any ε>0 there exists a polygonal path for which every [Formula presented]-ST (of the corresponding set of points) has weight greater than 2−ε times the weight of the path.

Original language English 101914 Computational Geometry: Theory and Applications 108 https://doi.org/10.1016/j.comgeo.2022.101914 Published - 1 Jan 2023

## Keywords

• Bounded-angle spanning tree
• Bounded-degree spanning tree
• Directional antennas
• Hop-spanner

## ASJC Scopus subject areas

• Computer Science Applications
• Geometry and Topology
• Control and Optimization
• Computational Theory and Mathematics
• Computational Mathematics

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