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Improved Lower Bounds on the Price of Stability of Undirected Network Design Games

  • Vittorio Bilò
  • Ioannis Caragiannis
  • Angelo Fanelli
  • Gianpiero Monaco
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6386)

Abstract

Bounding the price of stability of undirected network design games with fair cost allocation is a challenging open problem in the Algorithmic Game Theory research agenda. Even though the generalization of such games in directed networks is well understood in terms of the price of stability (it is exactly H n , the n-th harmonic number, for games with n players), far less is known for network design games in undirected networks. The upper bound carries over to this case as well while the best known lower bound is 42/23 ≈ 1.826. For more restricted but interesting variants of such games such as broadcast and multicast games, sublogarithmic upper bounds are known while the best known lower bound is 12/7 ≈ 1.714. In the current paper, we improve the lower bounds as follows. We break the psychological barrier of 2 by showing that the price of stability of undirected network design games is at least 348/155 ≈ 2.245. Our proof uses a recursive construction of a network design game with a simple gadget as the main building block. For broadcast and multicast games, we present new lower bounds of 20/11 ≈ 1.818 and 1.862, respectively.

Keywords

Nash Equilibrium Direct Edge Multicast Tree Congestion Game Undirected Network 
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 2010

Authors and Affiliations

  • Vittorio Bilò
    • 1
  • Ioannis Caragiannis
    • 2
  • Angelo Fanelli
    • 3
  • Gianpiero Monaco
    • 4
  1. 1.Department of MathematicsUniversity of SalentoLecceItaly
  2. 2.RACTI & Department of Computer Engineering and InformaticsUniversity of PatrasGreece
  3. 3.Division of Mathematical Sciences, School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore
  4. 4.Mascotte Project, I3S (CNRS/UNSA) INRIASophia AntipolisFrance

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