Fault-tolerant additive weighted geometric spanners
Sukanya Bhattacharjee, R. Inkulu

TL;DR
This paper introduces algorithms for constructing fault-tolerant additive weighted geometric spanners in Euclidean spaces, polygons, and terrains, ensuring resilient approximate shortest paths with efficient edge counts.
Contribution
It presents novel algorithms for building (k, t)-vertex fault-tolerant additive weighted geometric spanners with provable size bounds in various metric spaces.
Findings
Constructed (k, (2 + ε))-VFTAWS with O(kn) edges in Euclidean space.
Developed algorithms for geodesic (k, (2 + ε))-VFTAWS in polygons with O((kn/ε^2) log n) edges.
Achieved fault-tolerant spanners with optimal size bounds for terrains.
Abstract
Let S be a set of n points and let w be a function that assigns non-negative weights to points in S. The additive weighted distance d_w(p, q) between two points p,q belonging to S is defined as w(p) + d(p, q) + w(q) if p \ne q and it is zero if p = q. Here, d(p, q) denotes the (geodesic) Euclidean distance between p and q. A graph G(S, E) is called a t-spanner for the additive weighted set S of points if for any two points p and q in S the distance between p and q in graph G is at most t.d_w(p, q) for a real number t > 1. Here, d_w(p,q) is the additive weighted distance between p and q. For some integer k \geq 1, a t-spanner G for the set S is a (k, t)-vertex fault-tolerant additive weighted spanner, denoted with (k, t)-VFTAWS, if for any set S' \subset S with cardinality at most k, the graph G \ S' is a t-spanner for the points in S \ S'. For any given real number \epsilon > 0, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Geometry and Mesh Generation · 3D Shape Modeling and Analysis · Robotic Path Planning Algorithms
