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On Degree Constrained Shortest Paths

  • Samir Khuller
  • Kwangil Lee
  • Mark Shayman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3669)

Abstract

Traditional shortest path problems play a central role in both the design and use of communication networks and have been studied extensively. In this work, we consider a variant of the shortest path problem. The network has two kinds of edges, “actual” edges and “potential” edges. In addition, each vertex has a degree/interface constraint. We wish to compute a shortest path in the graph that maintains feasibility when we convert the potential edges on the shortest path to actual edges. The central difficulty is when a node has only one free interface, and the unconstrained shortest path chooses two potential edges incident on this node. We first show that this problem can be solved in polynomial time by reducing it to the minimum weighted perfect matching problem. The number of steps taken by this algorithm is O(|E|2 log |E|) for the single-source single-destination case. In other words, for each v we compute the shortest path P v such that converting the potential edges on P v to actual edges, does not violate any degree constraint. We then develop more efficient algorithms by extending Dijkstra’s shortest path algorithm. The number of steps taken by the latter algorithm is O(|E||V|), even for the single-source all destination case.

Keywords

Short Path Short Path Problem Short Path Algorithm Critical Node Free Space Optical 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Samir Khuller
    • 1
  • Kwangil Lee
    • 2
  • Mark Shayman
    • 3
  1. 1.Department of Computer ScienceUniversity of MarylandCollege ParkUSA
  2. 2.Institute for Advanced Computer StudiesUniversity of MarylandCollege ParkUSA
  3. 3.Department of Electrical and Computer EngineeringUniversity of MarylandCollege ParkUSA

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