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Sensor networks of freely drifting autonomous underwater explorers

Published: 25 September 2006 Publication History

Abstract

With the increasing sophistication of both manned and unmanned systems for remote ocean exploration, a wealth of knowledge about heretofore-unknown oceanic processes has become available. However, no technologies currently exist to observe organisms and processes without disturbing them, as they move with the natural motion of the oceans. We propose a new class of ocean sensing, whereby free-floating underwater devices operate autonomously and collaborate through an acoustic underwater network between them. This new class of sensing will provide a window into understanding the multifaceted interactions between the ocean's currents, underwater ecosystems and our impact on them. In this paper, we will present the design of our underwater vehicle, which drifts freely with the ocean currents and is equipped with a buoyancy control piston. Results from sea tests illustrate the feasibility of our design, including its depth tracking abilities.

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  • (2021)Coding-Aware Opportunistic Routing for Sparse Underwater Wireless Sensor NetworksIEEE Access10.1109/ACCESS.2021.30690779(50170-50187)Online publication date: 2021
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    cover image ACM Conferences
    WUWNet '06: Proceedings of the 1st International Workshop on Underwater Networks
    September 2006
    126 pages
    ISBN:1595934847
    DOI:10.1145/1161039
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 25 September 2006

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    Author Tags

    1. autonomous vehicles
    2. underwater acoustic communication
    3. underwater sensor networking

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    Cited By

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    • (2023)Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement LearningRemote Sensing10.3390/rs1512307715:12(3077)Online publication date: 12-Jun-2023
    • (2022)Recent Trends in Underwater Visible Light Communication (UVLC) SystemsIEEE Access10.1109/ACCESS.2022.315009310(22169-22225)Online publication date: 2022
    • (2021)Coding-Aware Opportunistic Routing for Sparse Underwater Wireless Sensor NetworksIEEE Access10.1109/ACCESS.2021.30690779(50170-50187)Online publication date: 2021
    • (2021)Optimal Deployment of Underwater Sensor Networks Based on Hungarian AlgorithmAdvances in Artificial Intelligence and Security10.1007/978-3-030-78615-1_20(233-244)Online publication date: 29-Jun-2021
    • (2020)Towards Void Hole Alleviation: Enhanced GEographic and Opportunistic Routing Protocols in Harsh Underwater WSNsIEEE Access10.1109/ACCESS.2020.29963678(96592-96605)Online publication date: 2020
    • (2019)Underwater Networks for Ocean Monitoring: A New Challenge for Topology Control and Opportunistic RoutingMission-Oriented Sensor Networks and Systems: Art and Science10.1007/978-3-319-91146-5_15(571-601)Online publication date: 19-Sep-2019
    • (2018)Exploiting Mobility to Improve Underwater Sensor NetworksProceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access10.1145/3265863.3268073(89-94)Online publication date: 25-Oct-2018
    • (2018)Underwater Wireless Sensor NetworksACM Computing Surveys10.1145/315483451:1(1-36)Online publication date: 4-Jan-2018
    • (2018)An efficient data delivery mechanism for AUV-based Ad hoc UASNsFuture Generation Computer Systems10.1016/j.future.2017.10.02586(1193-1208)Online publication date: Sep-2018
    • (2018)Performance Evaluation of Adaptive Telemetry Acoustic Modem for Underwater Wireless Sensor NetworksSmart and Innovative Trends in Next Generation Computing Technologies10.1007/978-981-10-8660-1_22(291-304)Online publication date: 9-Jun-2018
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