Distance-k information in self-stabilizing algorithms

  • Authors:
  • Wayne Goddard;Stephen T. Hedetniemi;David P. Jacobs;Vilmar Trevisan

  • Affiliations:
  • Department of Computer Science, Clemson University, SC;Department of Computer Science, Clemson University, SC;Department of Computer Science, Clemson University, SC;Instituto de Matemática, UFRGS, Porto Alegre, Brazil

  • Venue:
  • SIROCCO'06 Proceedings of the 13th international conference on Structural Information and Communication Complexity
  • Year:
  • 2006

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Abstract

Many graph problems seem to require knowledge that extends beyond the immediate neighbors of a node. The usual self-stabilizing model only allows for nodes to make decisions based on the states of their immediate neighbors. We provide a general polynomial transformation for constructing self-stabilizing algorithms which utilize distance-shape k knowledge, with a slowdown of nO(log k). Our main application is a polynomial-time self-stabilizing algorithm for finding maximal irredundant sets, a problem which seems to require distance-4 information. We also show how to find maximal k-packings in polynomial-time. Our techniques extend results in a recent paper by Gairing et al. for achieving distance-two information