TY - GEN

T1 - Survivable network activation problems

AU - Nutov, Zeev

N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.

PY - 2012

Y1 - 2012

N2 - 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].

AB - 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].

UR - http://www.scopus.com/inward/record.url?scp=84860802383&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-29344-3_50

DO - 10.1007/978-3-642-29344-3_50

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AN - SCOPUS:84860802383

SN - 9783642293436

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 594

EP - 605

BT - LATIN 2012

T2 - 10th Latin American Symposiumon Theoretical Informatics, LATIN 2012

Y2 - 16 April 2012 through 20 April 2012

ER -