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European Conference on Evolutionary Computation in Combinatorial Optimization

EvoCOP 2009: Evolutionary Computation in Combinatorial Optimization pp 192–203Cite as

Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5482))

Abstract

The problem of finding a symmetric connectivity topology with minimum power consumption in a wireless ad-hoc network is NP-hard. This work presents a new iterated local search to solve this problem by combining filtering techniques with local search. The algorithm is benchmarked using instances with up to 1000 nodes, and results are compared to optimal or best known results as well as other heuristics. For these instances, the proposed algorithm is able to find optimal and near-optimal solutions and outperforms previous heuristics.

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References

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Author information

Authors and Affiliations

  1. Distributed Algorithms Group, University of Kaiserslautern, Germany

    Steffen Wolf & Peter Merz

Authors
  1. Steffen Wolf
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  2. Peter Merz
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Editor information

Editors and Affiliations

  1. Dept. Lenguajes y Ciencias de la Computación, ETSI Informática, Universidad de Málaga, Campus Teatinos, 29071, Málaga, Spain

    Carlos Cotta

  2. Department of Computing, University of Bradford, BD7 1DP, Bradford, UK

    Peter Cowling

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Wolf, S., Merz, P. (2009). Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks. In: Cotta, C., Cowling, P. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2009. Lecture Notes in Computer Science, vol 5482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01009-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-01009-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01008-8

  • Online ISBN: 978-3-642-01009-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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