Approximate hierarchical facility location and applications to the shallow steiner tree and range assignment problems

  • Authors:

  • Erez Kantor;David Peleg

  • Affiliations:

  • Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel;Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel

  • Venue:
  • CIAC'06 Proceedings of the 6th Italian conference on Algorithms and Complexity
  • Year:
  • 2006

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Abstract

The paper concerns a new variant of the hierarchical facility location problem on metric powers (${{\rm \sc HFL}_\beta[h]}$), which is a multi-level uncapacitated facility location problem defined as follows. The input consists of a set F of locations that may open a facility, subsets D1,D2,...,Dh−1 of locations that may open an intermediate transmission station and a set Dh of locations of clients. Each client in Dh must be serviced by an open transmission station in Dh−1 and every open transmission station in Dl must be serviced by an open transmission station on the next lower level, Dl−1. An open transmission station on the first level, D1 must be serviced by an open facility. The cost of assigning a station j on level l ≥ 1 to a station i on level l-1 is cij. For i∈ F, the cost of opening a facility at location i is fi ≥ 0. It is required to find a feasible assignment that minimizes the total cost. A constant ratio approximation algorithm is established for this problem. This algorithm is then used to develop constant ratio approximation algorithms for the bounded depth steiner tree and the bounded hop strong-connectivity range assignment problems.