The Maximum Energy-Constrained Dynamic Flow Problem

  • Authors:
  • Sándor P. Fekete;Alexander Hall;Ekkehard Köhler;Alexander Kröller

  • Affiliations:
  • Algorithms Group, Braunschweig Institute of Technology, Braunschweig, Germany D-38106;EECS Department, UC Berkeley, USA CA 94720;Mathematical Institute, Brandenburg University of Technology, Cottbus, Germany D-03013;Algorithms Group, Braunschweig Institute of Technology, Braunschweig, Germany D-38106

  • Venue:
  • SWAT '08 Proceedings of the 11th Scandinavian workshop on Algorithm Theory
  • Year:
  • 2008

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Abstract

We study a natural class of flow problems that occur in the context of wireless networks; the objective is to maximize the flow from a set of sources to one sink node within a given time limit, while satisfying a number of constraints. These restrictions include capacities and transit times for edges; in addition, every node has a bound on the amount of transmission it can perform, due to limited battery energy it carries. We show that this Maximum energy-constrained dynamic flow problem(ECDF) is difficult in various ways: it is NP-hard for arbitrary transit times; a solution using flow paths can have exponential-size growth; a solution using edge flow values may not exist; and finding an integral solution is NP-hard. On the positive side, we show that the problem can be solved polynomially for uniform transit times for a limited time limit; we give an FPTAS for finding a fractional flow; and, most notably, there is a distributed FPTAS that can be run directly on the network.