Optimisation of underwater acoustic sensor networks

Ronan Serre (1) , David Dellong (1) , Myriam Lajaunie (1) , Hélène Pihan-Le Bars (1) , Jean-Michel Boutonnier (1) , Mathis Hamelotte (2) , Laurent Lemarchand (2) , Catherine Dezan (2)

1 SHOM - Service Hydrographique et Océanographique de la Marine
2 Lab-STICC_SHAKER - Equipe Software/HArdware and unKnown Environment inteRactions

This contribution describes two methodologies based on evolutionary algorithms and Linear

Programming to determine optimal configurations of underwater acoustic sensor networks maximising source detection capabilities, while accounting for the overall physical state of the marine environment. The optimisation framework is evaluated with the different optimisation algorithms. The relevance of various objectives, or metrics, are discussed, as well as specific search operators for crossover and mutation.

Domaines: Acoustique [physics.class-ph]; Systèmes embarqués; Recherche opérationnelle [math.OC]

Ronan Serre, David Dellong, Myriam Lajaunie, Hélène Pihan-Le Bars, Jean-Michel Boutonnier, et al.. Optimisation of underwater acoustic sensor networks. Inter Noise 2024, French Acoustical Society, Aug 2024, Nantes, France. ⟨hal-04689115⟩