Investigating Coverage and Connectivity Trade-offs in Wireless Sensor Networks: The Benefits of MOEAs

  • Matthias Woehrle
  • Dimo Brockhoff
  • Tim Hohm
  • Stefan Bleuler
Conference paper
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 634)


How many wireless sensor nodes should be used and where should they be placed in order to form an optimal wireless sensor network (WSN) deployment? This is a difficult question to answer for a decision maker due to the conflicting objectives of deployment costs and wireless transmission reliability. Here, we address this problem using a multiobjective evolutionary algorithm (MOEA) which allows to identify the trade-offs between low-cost and highly reliable deployments–providing the decision maker with a set of good solutions to choose from. For the MOEA, we use an off-the-shelf selector and propose a problem-specific representation, an initialization scheme, and variation operators. The resulting algorithm is applied to a test deployment scenario to show the usefulness of the approach in terms of decision making.


Evolutionary multiobjective optimization Variable-length representation Wireless sensor networks 



Matthias Woehrle and Dimo Brockhoff have been supported by the SNF under grant numbers 5005-67322 and 112079. Tim Hohm has been supported by the European Commission under the Marie Curie RTN SYSTEM, Project 5336.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Matthias Woehrle
  • Dimo Brockhoff
  • Tim Hohm
    • 1
  • Stefan Bleuler
  1. 1.Computer Engineering and Networks LabETH ZurichZurichSwitzerland

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