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European Conference on the Applications of Evolutionary Computation

EvoApplications 2017: Applications of Evolutionary Computation pp 234–250Cite as

A Fast ILP-Based Heuristic for the Robust Design of Body Wireless Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10199))

Abstract

We consider the problem of optimally designing a body wireless sensor network, while taking into account the uncertainty of data generation of biosensors. Since the related min-max robustness Integer Linear Programming (ILP) problem can be difficult to solve even for state-of-the-art commercial optimization solvers, we propose an original heuristic for its solution. The heuristic combines deterministic and probabilistic variable fixing strategies, guided by the information coming from strengthened linear relaxations of the ILP robust model, and includes a very large neighborhood search for reparation and improvement of generated solutions, formulated as an ILP problem solved exactly. Computational tests on realistic instances show that our heuristic finds solutions of much higher quality than a state-of-the-art solver and than an effective benchmark heuristic.

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Notes

  1. 1.

    We note that we assume that each biosensor \(b \in B\) never acts as a receiver and only generates and transmits data. So we do not characterize the subsets \(B_r, B_s \subseteq B\) of biosensors within the range of a relay r or a sink s. Furthermore, we assume that each sink s never acts as a transmitter and only receives data. So we do not characterize the subsets \(B_s \subseteq B\), \(R_s \subseteq R\) of biosensors and relays within the range of a sink s.

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Author information

Authors and Affiliations

  1. Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc UMR 7253, CS 60319, 60203, Compiègne, France

    Fabio D’Andreagiovanni & Enrico Natalizio

  2. Università Degli Studi Roma Tre, Via Ostiense 169, 00154, Roma, Italy

    Antonella Nardin

Authors
  1. Fabio D’Andreagiovanni
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  2. Antonella Nardin
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  3. Enrico Natalizio
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Corresponding author

Correspondence to Fabio D’Andreagiovanni .

Editor information

Editors and Affiliations

  1. Politecnico di Torino, Turin, Italy

    Giovanni Squillero

  2. Edinburgh Napier University, Edinburgh, United Kingdom

    Kevin Sim

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D’Andreagiovanni, F., Nardin, A., Natalizio, E. (2017). A Fast ILP-Based Heuristic for the Robust Design of Body Wireless Sensor Networks. In: Squillero, G., Sim, K. (eds) Applications of Evolutionary Computation. EvoApplications 2017. Lecture Notes in Computer Science(), vol 10199. Springer, Cham. https://doi.org/10.1007/978-3-319-55849-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-55849-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55848-6

  • Online ISBN: 978-3-319-55849-3

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