TY - GEN

T1 - Approximate shortest path queries using Voronoi duals

AU - Honiden, Shinichi

AU - Houle, Michael E.

AU - Sommer, Christian

AU - Wolff, Martin

PY - 2010

Y1 - 2010

N2 - We propose an approximation method to answer point-to-point shortest path queries in undirected edge-weighted graphs, based on random sampling and Voronoi duals. We compute a simplification of the graph by selecting nodes independently at random with probability p. Edges are generated as the Voronoi dual of the original graph, using the selected nodes as Voronoi sites. This overlay graph allows for fast computation of approximate shortest paths for general, undirected graphs. The time-quality tradeoff decision can be made at query time. We provide bounds on the approximation ratio of the path lengths as well as experimental results. The theoretical worst-case approximation ratio is bounded by a logarithmic factor. Experiments show that our approximation method based on Voronoi duals has extremely fast preprocessing time and efficiently computes reasonably short paths.

AB - We propose an approximation method to answer point-to-point shortest path queries in undirected edge-weighted graphs, based on random sampling and Voronoi duals. We compute a simplification of the graph by selecting nodes independently at random with probability p. Edges are generated as the Voronoi dual of the original graph, using the selected nodes as Voronoi sites. This overlay graph allows for fast computation of approximate shortest paths for general, undirected graphs. The time-quality tradeoff decision can be made at query time. We provide bounds on the approximation ratio of the path lengths as well as experimental results. The theoretical worst-case approximation ratio is bounded by a logarithmic factor. Experiments show that our approximation method based on Voronoi duals has extremely fast preprocessing time and efficiently computes reasonably short paths.

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U2 - 10.1007/978-3-642-16007-3_2

DO - 10.1007/978-3-642-16007-3_2

M3 - Conference contribution

AN - SCOPUS:78649807480

SN - 3642160069

SN - 9783642160066

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 28

EP - 53

BT - Transactions on Computational Science IX - Special Issue on Voronoi Diagrams in Science and Engineering

T2 - International Symposium on Voronoi Diagrams 2009

Y2 - 23 June 2009 through 26 June 2009

ER -