Local edge colouring of Yao-like subgraphs of Unit Disk Graphs

  • Authors:
  • J. Czyzowicz;S. Dobrev;E. Kranakis;J. Opatrny;J. Urrutia

  • Affiliations:
  • Département dinformatique, Université du Québec en Outaouais, Gatineau, QC, J8X 3X7, Canada;School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, K1N 6N5, Canada;School of Computer Science, Carleton University, Ottawa, ON, K1S 5B6, Canada;Department of Computer Science, Concordia University, Montréal, QC, H3G 1M8, Canada;Instituto de Matemáticas, Universidad Nacional Autónoma de México, Área de la investigación cientifica, Circuito Exterior, Ciudad Universitaria, Coyoacán 04510, D.F. ...

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2009

Quantified Score

Hi-index 5.24

Visualization

Abstract

The focus of the present paper is on providing a local deterministic algorithm for colouring the edges of Yao-like subgraphs of Unit Disk Graphs. These are geometric graphs such that for some positive integers l,k the following property holds at each node v: if we partition the unit circle centered at v into 2k equally sized wedges then each wedge can contain at most l points different from v. We assume that the nodes are location aware, i.e. they know their Cartesian coordinates in the plane. The algorithm presented is local in the sense that each node can receive information emanating only from nodes which are at most a constant (depending on k and l, but not on the size of the graph) number of hops (measured in the original underlying Unit Disk Graph) away from it, and hence the algorithm terminates in a constant number of steps. The number of colours used is 2kl+1 and this is optimal for local algorithms (since the maximal degree is 2kl and a colouring with 2kl colours can only be constructed by a global algorithm), thus showing that in this class of graphs the price for locality is only one additional colour.