An Improved Approximation Algorithm for the Capacitated Multicast Tree Routing Problem

  • Authors:
  • Zhipeng Cai;Zhi-Zhong Chen;Guohui Lin;Lusheng Wang

  • Affiliations:
  • Department of Computing Science, University of Alberta, Edmonton, Canada T6G 2E8;Department of Mathematical Sciences, Tokyo Denki University, Hatoyama, Japan 350-0394;Department of Computing Science, University of Alberta, Edmonton, Canada T6G 2E8;Department of Computer Science, City University of Hong Kong, Hong Kong

  • Venue:
  • COCOA 2008 Proceedings of the 2nd international conference on Combinatorial Optimization and Applications
  • Year:
  • 2008

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Abstract

The Capacitated Multicast Tree Routing Problem is considered, in which only a limited number of destination nodes are allowed to receive data in one routing tree and multiple routing trees are needed to send data from the source node to all destination nodes. The goal is to minimize the total cost of these routing trees. An improved approximation algorithm is presented, which has a worst case performance ratio of $\frac 85 + \frac 54\rho$. Here ρdenotes the best approximation ratio for the Steiner Minimum Tree problem, and it is about 1.55 at the writing of the paper. This improves upon the previous best having a performance ratio of 2 + ρ.