CLAM - CoLlAborative eMbedded networks for submarine surveillance: An overview

Nirvana Meratnia, Paul J.M. Havinga, Paolo Casari, Chiara Petrioli, Knut Grythe, Thor Husoy, Michele Zorzi

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    9 Citations (Scopus)

    Abstract

    This paper provides an overview of the CLAM project, which aims at developing a collaborative embedded monitoring and control platform for submarine surveillance by combining cutting edge acoustic vector sensor technology and 1D, 2D, 3D sensor arrays, underwater wireless sensor networks protocol design, advanced techniques for acoustic communica- tion, new solutions for collaborative situation-aware reasoning and distributed data and signal processing and control for horizontal and vertical sensor arrays. The result will be a new system architecture accommodating pervasively distributed heterogeneous sensor nodes deployed at different water depths, which provides a flexible, reconfigurable, and robust platform for online surveillance of submarine environments. Horizontal and vertical collaboration between sensor arrays by means of beam forming, sensor fusion and distributed processing and reasoning enables fine-grained monitoring of the submarine environment and collaborative event detection as well as transmission of the network information to the monitoring stations such as buoys and AUVs.
    Original languageUndefined
    Title of host publicationOCEANS 2011 IEEE
    Place of PublicationUSA
    PublisherIEEE Oceanic Engineering Society
    Pages1-4
    Number of pages4
    ISBN (Print)978-1-4577-0087-3
    DOIs
    Publication statusPublished - 6 Jun 2011
    EventOCEANS 2011 IEEE - Santander, Spain
    Duration: 6 Jun 20119 Jun 2011

    Publication series

    Name
    PublisherIEEE Oceanic Engineering Society

    Conference

    ConferenceOCEANS 2011 IEEE
    Period6/06/119/06/11
    Other6-9 June 2011

    Keywords

    • METIS-277444
    • IR-77703
    • EWI-18761
    • CR-C.2.1
    • EC Grant Agreement nr.: FP7/258359

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