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

In: Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems

Author

Listed:
  • Matthias Woehrle
  • Dimo Brockhoff
  • Tim Hohm

    (ETH Zurich)

  • Stefan Bleuler

Abstract

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.

Suggested Citation

  • Matthias Woehrle & Dimo Brockhoff & Tim Hohm & Stefan Bleuler, 2010. "Investigating Coverage and Connectivity Trade-offs in Wireless Sensor Networks: The Benefits of MOEAs," Lecture Notes in Economics and Mathematical Systems, in: Matthias Ehrgott & Boris Naujoks & Theodor J. Stewart & Jyrki Wallenius (ed.), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pages 211-221, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-04045-0_18
    DOI: 10.1007/978-3-642-04045-0_18
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