Fast deterministic distributed maximal independent set computation on growth-bounded graphs

  • Authors:
  • Fabian Kuhn;Thomas Moscibroda;Tim Nieberg;Roger Wattenhofer

  • Affiliations:
  • Computer Engineering and Networks Laboratory, ETH Zurich, Zurich, Switzerland;Computer Engineering and Networks Laboratory, ETH Zurich, Zurich, Switzerland;Department of Applied Mathematics, University of Twente, Enschede, The Netherlands;Computer Engineering and Networks Laboratory, ETH Zurich, Zurich, Switzerland

  • Venue:
  • DISC'05 Proceedings of the 19th international conference on Distributed Computing
  • Year:
  • 2005

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Abstract

The distributed complexity of computing a maximal independent set in a graph is of both practical and theoretical importance. While there exists an elegant O(log n) time randomized algorithm for general graphs [20], no deterministic polylogarithmic algorithm is known. In this paper, we study the problem in graphs with bounded growth, an important family of graphs which includes the well-known unit disk graph and many variants thereof. Particularly, we propose a deterministic algorithm that computes a maximal independent set in time O(log Δ· log*n) in graphs with bounded growth, where n and Δ denote the number of nodes and the maximal degree in G, respectively.