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Applied Intelligence

, Volume 48, Issue 10, pp 3653–3671 | Cite as

Hybrid multicriteria algorithms applied to structural design of wireless local area networks

  • Marlon P. Lima
  • Ricardo H. C. Takahashi
  • Marcos A. M. Vieira
  • Eduardo G. Carrano
Article
First Online:
  • 79 Downloads

Abstract

This manuscript presents a novel approach based on hybrid optimization techniques for planning Wireless Local Area Networks in two stages: i) network structure design for access point (AP) placement and channel assignment and ii) channel assignment enhancement. We consider two objective functions: network load balance and signal-to-interference-plus-noise ratio; and three hard constraints: maximum AP capacities, client demand attendance, and minimum coverage levels. The proposed algorithm delivers an approximation of the efficient solution set, considering the two functions described above. The results from two scenarios were compared to the following four approaches: two multiobjective evolutionary algorithms, a well-known commercial tool, and a greedy technique. Finally, the solutions were subjected to sensitivity analysis to validate their robustness regarding user mobility and AP failures.

Keywords

WLAN planning Channel assignment Multiobjective optimization Hybrid algorithms 
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Notes

Acknowledgments

The authors would like to thank Brazilian agencies CAPES, CNPq, and FAPEMIG for financial support; Ekahau, Inc. for providing a functional version of Ekahau Site Survey software for seven-day testing; and Charles F. S. Vardiero and Prof. Felipe Campelo for their careful review of our manuscript.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of ComputingUniversidade Federal de Ouro PretoJoão MonlevadeBrazil
  2. 2.Department of Electrical EngineeringUniversidade Federal de Minas GeraisBelo HorizonteBrazil
  3. 3.Department of MathematicsUniversidade Federal de Minas GeraisBelo HorizonteBrazil
  4. 4.Department of Computer ScienceUniversidade Federal de Minas GeraisBelo HorizonteBrazil

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