Distributed ($#916;+1)-coloring in the physical model

  • Authors:
  • Dongxiao Yu;Yuexuan Wang;Qiang-Sheng Hua;Francis C. M. Lau

  • Affiliations:
  • Department of Computer Science, The University of Hong Kong, Hong Kong, P.R. China;Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, P.R. China;Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, P.R. China;Department of Computer Science, The University of Hong Kong, Hong Kong, P.R. China

  • Venue:
  • ALGOSENSORS'11 Proceedings of the 7th international conference on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities
  • Year:
  • 2011

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Abstract

In multi-hop radio networks, such as wireless ad-hoc and sensor networks, nodes employ a MAC (Medium Access Control) protocol such as TDMA to coordinate accesses to the shared medium and to avoid interference of close-by transmissions. These protocols can be implemented using standard node coloring. The ($#916;+1)-coloring problem is to color all nodes in as few timeslots as possible using at most $#916;+1 colors such that any two nodes within distance R are assigned different colors, where R is a given parameter and $#916; is the maximum degree of the modeled unit disk graph using the scaling factor R. Being one of the most fundamental problems in distributed computing, this problem is well studied and there are a long chain of algorithms for it. However, all previous work are based on models that are highly abstract, such as message passing models and graph based interference models, which limit the utility of these algorithms in practice. In this paper, for the first time, we consider the distributed $#916;+1-coloring problem under the more practical SINR interference model. In particular, without requiring any knowledge about the neighborhood, we propose a novel randomized ($#916;+1)-coloring algorithm with time complexity O($#916;logn+log2n). For the case where nodes can not adjust their transmission power, we give an O($#916;log2n) randomized algorithm, which only incurs a logarithmic multiplicative factor overhead.