
Proceedings Paper
Adaptive multi-sensor biomimetics for unsupervised submarine hunt (AMBUSH): Early resultsFormat | Member Price | Non-Member Price |
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Paper Abstract
Underwater surveillance is inherently difficult because acoustic wave propagation and transmission are limited and unpredictable
when targets and sensors move around in the communication-opaque undersea environment. Today's Navy
underwater sensors enable the collection of a massive amount of data, often analyzed offtine. The Navy of tomorrow will
dominate by making sense of that data in real-time. DRDC's AMBUSH project proposes a new undersea-surveillance
network paradigm that will enable such a real-time operation. Nature abounds with examples of collaborative tasks taking
place despite limited communication and computational capabilities. This publication describes a year's worth of research
efforts finding inspiration in Nature's collaborative tasks such as wolves hunting in packs. This project proposes the utilization
of a heterogeneous network combining both static and mobile network nodes. The military objective is to enable
an unsupervised surveillance capability while maximizing target localization performance and endurance. The scientific
objective is to develop the necessary technology to acoustically and passively localize a noise-source of interest in shallow
waters. The project fulfills these objectives via distributed computing and adaptation to changing undersea conditions.
Specific research interests discussed here relate to approaches for performing: (a) network self-discovery, (b) network
connectivity self-assessment, (c) opportunistic network routing, (d) distributed data-aggregation, and (e) simulation of
underwater acoustic propagation. We present early results then followed by a discussion about future work.
Paper Details
Date Published: 17 October 2014
PDF: 8 pages
Proc. SPIE 9248, Unmanned/Unattended Sensors and Sensor Networks X, 92480O (17 October 2014); doi: 10.1117/12.2078710
Published in SPIE Proceedings Vol. 9248:
Unmanned/Unattended Sensors and Sensor Networks X
Edward M. Carapezza; Panos G. Datskos; Christos Tsamis, Editor(s)
PDF: 8 pages
Proc. SPIE 9248, Unmanned/Unattended Sensors and Sensor Networks X, 92480O (17 October 2014); doi: 10.1117/12.2078710
Show Author Affiliations
Stéphane Blouin, Defence Research and Development Canada (Canada)
Published in SPIE Proceedings Vol. 9248:
Unmanned/Unattended Sensors and Sensor Networks X
Edward M. Carapezza; Panos G. Datskos; Christos Tsamis, Editor(s)
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