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  • 标题:Self-Stabilizing Global Optimization Algorithms for Large Network Graphs
  • 本地全文:下载
  • 作者:Wayne Goddard ; Stephen T. Hedetniemi ; David P. Jacobs
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2005
  • 卷号:1
  • DOI:10.1080/15501320500330745
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The paradigm of self-stabilization provides a mechanism to design efficient localized distributed algorithms that are proving to be essential for modern day large networks of sensors. We provide self-stabilizing algorithms (in the shared-variable ID-based model) for three graph optimization problems: a minimal total dominating set (where every node must be adjacent to a node in the set) and its generalizations, a maximal k-packing (a set of nodes where every pair of nodes are more than distance k apart), and a maximal strong matching (a collection of totally disjoint edges).
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