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Adaptive Broadcast Consumption (ABC), a New Heuristic and New Bounds for the Minimum Energy Broadcast Routing Problem

  • Ralf Klasing
  • Alfredo Navarra
  • Aris Papadopoulos
  • Stéphane Pérennes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3042)

Abstract

In this paper we present a new heuristic called Adaptive Broadcast Consumption (ABC for short) for the Minimum-Energy Broadcast Routing (MEBR) problem. We first investigate the problem trying to understand which are the main properties not taken into account by the classic and well-studied MST and BIP heuristics, then we propose a new algorithm proving that it computes the MEBR with an approximation ratio less than or equal to MST, for which we prove an approximation ratio of at most 12.15 instead of the well-known 12 [10]. Finally we present experimental results supporting our intuitive ideas, comparing ABC with other heuristics presented in the literature and showing its good performance on random instances even compared to the optimum.

Keywords

Mobile Node Approximation Ratio Minimum Span Tree Multicast Tree Random Instance 
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 2004

Authors and Affiliations

  • Ralf Klasing
    • 1
  • Alfredo Navarra
    • 1
    • 2
  • Aris Papadopoulos
    • 1
    • 3
  • Stéphane Pérennes
    • 1
  1. 1.MASCOTTE projectI3S-CNRS/INRIA/Univ. NiceSophia AntipolisFrance
  2. 2.Computer Science DepartmentUniversity of L’AquilaItaly
  3. 3.Department of ComputingImperial College LondonUK

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