δ-Greedy t-spanner

Gali Bar On, Paz Carmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce a new geometric spanner, δ-Greedy, whose construction is based on a generalization of the known Path-Greedy and Gap-Greedy spanners. The δ-Greedy spanner combines the most desirable properties of geometric spanners both in theory and in practice. More specifically, it has the same theoretical and practical properties as the Path-Greedy spanner: a natural definition, small degree, linear number of edges, low weight, and strong (1+ε)-spanner for every ε > 0. The δ-Greedy algorithm is an improvement over the Path-Greedy algorithm with respect to the number of shortest path queries and hence with respect to its construction time. We show how to construct such a spanner for a set of n points in the plane in O(n2 log n) time. The δ-Greedy spanner has an additional parameter, δ, which indicates how close it is to the Path-Greedy spanner on the account of the number of shortest path queries. For δ = t the output spanner is identical to the Path-Greedy spanner, while the number of shortest path queries is, in practice, linear. Finally, we show that for a set of n points placed independently at random in a unit square the expected construction time of the δ-Greedy algorithm is O(n log n). Our analysis indicates that the δ-Greedy spanner gives the best results among the known spanners of expected O(n log n) time for random point sets. Moreover, analysis implies that by setting δ = t, the δ-Greedy algorithm provides a spanner identical to the Path-Greedy spanner in expected O(n log n) time.

Original languageAmerican English
Title of host publicationAlgorithms and Data Structures - 15th International Symposium, WADS 2017, Proceedings
EditorsFaith Ellen, Antonina Kolokolova, Jorg-Rudiger Sack
PublisherSpringer Verlag
Pages85-96
Number of pages12
ISBN (Print)9783319621265
DOIs
StatePublished - 1 Jan 2017
Event15th International Symposium on Algorithms and Data Structures, WADS 2017 - St. John’s, Canada
Duration: 31 Jul 20172 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10389 LNCS

Conference

Conference15th International Symposium on Algorithms and Data Structures, WADS 2017
Country/TerritoryCanada
CitySt. John’s
Period31/07/172/08/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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