The Maximum Energy-Constrained Dynamic Flow Problem

  • Sándor P. Fekete
  • Alexander Hall
  • Ekkehard Köhler
  • Alexander Kröller
Conference paper

DOI: 10.1007/978-3-540-69903-3_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5124)
Cite this paper as:
Fekete S.P., Hall A., Köhler E., Kröller A. (2008) The Maximum Energy-Constrained Dynamic Flow Problem. In: Gudmundsson J. (eds) Algorithm Theory – SWAT 2008. SWAT 2008. Lecture Notes in Computer Science, vol 5124. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Sándor P. Fekete
    • 1
  • Alexander Hall
    • 2
  • Ekkehard Köhler
    • 3
  • Alexander Kröller
    • 1
  1. 1.Algorithms GroupBraunschweig Institute of TechnologyBraunschweigGermany
  2. 2.EECS DepartmentUC BerkeleyUSA
  3. 3.Mathematical InstituteBrandenburg University of TechnologyCottbusGermany

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