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

• Published in: Proceedings of the 12th International Conference on Wireless Information Networks and Systems
• Main Authors: Gualtieri, Jean-Sébastien, 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), Centre National de la Recherche Scientifique (CNRS)-Université Pascal Paoli (UPP), Université Pascal Paoli (UPP)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2015
• Subjects: Method; Tracking; Acoustic Sensor; Localization; Position; [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.archives-ouvertes.fr/hal-01291963; https://doi.org/10.5220/0005531100330041

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.