Vertex Fault-Tolerant Geometric Spanners for Weighted Points
Sukanya Bhattacharjee, R. Inkulu

TL;DR
This paper presents algorithms for constructing fault-tolerant geometric spanners for weighted points in various metric spaces, achieving near-optimal size and stretch factors, with applications in Euclidean, polygonal, and terrain domains.
Contribution
The paper introduces new algorithms for fault-tolerant spanners in weighted metric spaces, extending previous work to polygonal domains and terrains with provable size and stretch guarantees.
Findings
Constructed k-vertex fault-tolerant (4+ε)-spanners in Euclidean space with O(k n) edges.
Developed algorithms for polygonal domains with O((k n √(h+1))/ε^2) edges.
Proposed fault-tolerant spanners on terrains with O((k n)/ε^2) edges.
Abstract
Given a set S of n points, a weight function w to associate a non-negative weight to each point in S, a positive integer k \ge 1, and a real number \epsilon > 0, we present algorithms for computing a spanner network G(S, E) for the metric space (S, d_w) induced by the weighted points in S. The weighted distance function d_w on the set S of points is defined as follows: for any p, q \in S, d_w(p, q) is equal to w(p) + d_\pi(p, q) + w(q) if p \ne q, otherwise, d_w(p, q) is 0. Here, d_\pi(p, q) is the Euclidean distance between p and q if points in S are in \mathbb{R}^d, otherwise, it is the geodesic (Euclidean) distance between p and q. The following are our results: (1) When the weighted points in S are located in \mathbb{R}^d, we compute a k-vertex fault-tolerant (4+\epsilon)-spanner network of size O(k n). (2) When the weighted points in S are located in the relative interior of the…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · 3D Shape Modeling and Analysis · Remote Sensing and LiDAR Applications
