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Investigation of Underwater Acoustic Networking Enabling the Cooperative Operation of Multiple Heterogeneous Vehicles

Title
Investigation of Underwater Acoustic Networking Enabling the Cooperative Operation of Multiple Heterogeneous Vehicles
Type
Article in International Scientific Journal
Year
2013
Authors
Bruno M Ferreira
(Author)
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Oleksiy Kebkal
(Author)
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Anibal C Matos
(Author)
FEUP
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Chiara Petrioli
(Author)
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Roberto Petroccia
(Author)
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Daniele Spaccini
(Author)
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Journal
Vol. 47
Pages: 43-58
ISSN: 0025-3324
Scientific classification
FOS: Engineering and technology > Environmental engineering
Other information
Authenticus ID: P-005-2KH
Abstract (EN): In this paper, we investigate the creation of an underwater acoustic network to support marine operations based on static and mobile nodes. Each underwater device combines communication, networking, and sensing capabilities and cooperates with the other devices in coordinated missions. The proposed system is built upon the SUNSET framework, providing acoustic communications and networking capabilities to autonomous underwater vehicles, autonomous surface vessels, and moored systems, using underwater acoustic modems. Specific solutions have been developed and tested to control the underwater nodes acoustically and to instruct the vehicles on keeping a given formation using acoustic links. One of the novelties of our approach has been the development and utilization of a realistic simulation infrastructure to provide a very accurate representation of all the dynamic systems involved in the network, modeling the vehicle dynamics, the acoustic channel, and the communication messages. This infrastructure has been extensively used to investigate and validate the proposed solutions under different environmental conditions before the actual deployment of devices. Several experiments were then conducted in the laboratory and in the field. The experimental results have confirmed the effectiveness of the proposed solutions and the reliability of the proposed simulation framework in estimating system performance.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 16
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