Survivable network activation problems

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Abstract

In the Survivable Networks Activation problem we are given a graph G = (V,E), S V, a family {f uv (x u ,x v ) : uv ∈ E} of monotone non-decreasing activating functions from ℝ 2 + to {0,1} each, and connectivity requirements {r(u,v) : u, v ∈ V}. The goal is to find a weight assignment w = {w v : v ∈ V} of minimum total weight w(V) = v∈V w v, such that: for all u, v ∈ V, the activated graph G w = (V,E w ), where E w = {uv : f uv (w u ,w v)=1}, contains r(u,v) pairwise edge-disjoint uv-paths such that no two of them have a node in S\{u,v} in common. This problem was suggested recently by Panigrahi [12], generalizing the Node-Weighted Survivable Network and the Minimum-Power Survivable Network problems, as well as several other problems with motivation in wireless networks. We give new approximation algorithms for this problem. For undirected/directed graphs, our ratios are O(κ logn) for κ-Out/In-connected Subgraph Activation and κ-Connected Subgraph Activation. For directed graphs this solves a question from [12] for κ = 1, while for the min-power case and κ arbitrary this solves an open question from [9]. For other versions on undirected graphs, our ratios match the best known ones for the Node-Weighted Survivable Network problem [8].

Original languageEnglish
Title of host publicationLATIN 2012
Subtitle of host publicationTheoretical Informatics - 10th Latin American Symposium, Proceedings
Pages594-605
Number of pages12
DOIs
StatePublished - 2012
Event10th Latin American Symposiumon Theoretical Informatics, LATIN 2012 - Arequipa, Peru
Duration: 16 Apr 201220 Apr 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7256 LNCS

Conference

Conference10th Latin American Symposiumon Theoretical Informatics, LATIN 2012
Country/TerritoryPeru
CityArequipa
Period16/04/1220/04/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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