A greedy algorithm for the minimum \(2\) -connected 详细信息    查看全文
  • 作者:Yishuo Shi ; Yaping Zhang ; Zhao Zhang ; Weili Wu
  • 关键词:Fault ; tolerant connected dominating set ; Greedy algorithm ; Non ; submodular potential function
  • 刊名:Journal of Combinatorial Optimization
  • 出版年:2016
  • 出版时间:January 2016
  • 年:2016
  • 卷:31
  • 期:1
  • 页码:136-151
  • 全文大小:684 KB
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  • 作者单位:Yishuo Shi (1)
    Yaping Zhang (1)
    Zhao Zhang (1)
    Weili Wu (2)

    1. College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, People’s Republic of China
    2. Department of Computer Science, University of Texas at Dallas, Richardson, TX, 75080, USA
  • 刊物类别:Mathematics and Statistics
  • 刊物主题:Mathematics
    Combinatorics
    Convex and Discrete Geometry
    Mathematical Modeling and IndustrialMathematics
    Theory of Computation
    Optimization
    Operation Research and Decision Theory
  • 出版者:Springer Netherlands
  • ISSN:1573-2886
文摘
To save energy and alleviate interference in a wireless sensor network, connected dominating set (CDS) has been proposed as the virtual backbone. Since nodes may fail due to accidental damage or energy depletion, it is desirable to construct a fault tolerant CDS, which can be modeled as a \(k\)-connected \(m\)-fold dominating set \(((k,m)\)-CDS for short): a subset of nodes \(C\subseteq V(G)\) is a \((k,m)\)-CDS of \(G\) if every node in \(V(G)\setminus C\) is adjacent with at least \(m\) nodes in \(C\) and the subgraph of \(G\) induced by \(C\) is \(k\)-connected.In this paper, we present an approximation algorithm for the minimum \((2,m)\)-CDS problem with \(m\ge 2\). Based on a \((1,m)\)-CDS, the algorithm greedily merges blocks until the connectivity is raised to two. The most difficult problem in the analysis is that the potential function used in the greedy algorithm is not submodular. By proving that an optimal solution has a specific decomposition, we managed to prove that the approximation ratio is \(\alpha +2(1+\ln \alpha )\), where \(\alpha \) is the approximation ratio for the minimum \((1,m)\)-CDS problem. This improves on previous approximation ratios for the minimum \((2,m)\)-CDS problem, both in general graphs and in unit disk graphs.

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