Localization Method According to Collect Data from an Acoustic Wireless Sensor Network. Example of Homarus Gammarus in Natural Area

International audience The platform STELLA MARE (Sustainable TEchnologies for LittoraL Aquaculture and MArine REsearch) has for objective to bring responses in the management of the sea in relation with the professional fishing. In this paper, we introduce an experiment on the monitoring of Homarus...

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Bibliographic Details
Published in:Proceedings of the 12th International Conference on Wireless Information Networks and Systems
Main Authors: Gualtieri, Jean-Sébastien, Gualtieri, Poggi, Bastien, Bisgambiglia, Paul-Antoine, Antoine-Santoni, Thierry, Federici, Dominique, de Gentili, Emmanuelle, Aiello, Antoine
Other Authors: Stella Mare, Université Pascal Paoli (UPP)-Centre National de la Recherche Scientifique (CNRS), Sciences pour l'environnement (SPE), Université Pascal Paoli (UPP)
Format: Conference Object
Language:English
Published: HAL CCSD 2015
Subjects:
Acoustic Sensor
Localization
Position
Method
Tracking
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
[INFO]Computer Science [cs]
[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]
[INFO.INFO-MC]Computer Science [cs]/Mobile Computing
[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing
Stella
Homarus gammarus
Online Access:https://hal.science/hal-01291963
https://doi.org/10.5220/0005531100330041
Description
Summary:International audience The platform STELLA MARE (Sustainable TEchnologies for LittoraL Aquaculture and MArine REsearch) has for objective to bring responses in the management of the sea in relation with the professional fishing. In this paper, we introduce an experiment on the monitoring of Homarus Gammarus. Using a passive tracking methodology using an acoustic wireless sensor network (AWSN), we try to follow some individuals, to define movement. The main objective is to build a lobster path according to the collected signal according a classical localization method to test our tracking method. Using a smoothing method and some resolution algorithms we are able to deduct a behaviour of tagged lobsters in an experimental area. This paper describes our methodology to estimate lobsters position according to data collected by an AWSN. This work represent a first step before the building a lobster model to simulate its behaviour in Corsican Mediterranean conditions.

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