Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3491315.3491329acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
short-paper

Design of Underwater Sensor Data Acquisition and Processing System for UWSNs

Published: 17 March 2022 Publication History
  • Get Citation Alerts
  • Abstract

    Underwater sensor data acquisition is vatal for Underwater Wireless Sensor Networks (UWSNs), such as marine environment monitoring, ecological protection, and hydrological surveys. Compared with terrestrial environments, marine environments are more complex and changeable, which impose great challenges to acquire underwater sensor data. However, existing studies are still theoretical, lack of research that has been applied to actual underwater wireless sensor networks. In this paper, an underwater sensor data acquisition and processing system for UWSNs is proposed to decrease communication costs and improve communication efficiency. We first design the system architecture for underwater sensor data acquisition and processing, includes Conductance, Temperature, Depth(CTD data), optical images, and sonar data. Then we propose specific-designed method to process the raw data for UWSNs to decrease communication costs, which can also guarantee data availability. In the real 20-nodes sea experiments, our system is shown to be efficient for underwater data acquisition and processing.

    References

    [1]
    Ayman Alharbi, Hesham Alhumyani, Sherif Tolba, Reda Ammar, 2014. Underwater sensing and processing networks (uspn). In 2014 IEEE Symposium on Computers and Communications (ISCC). IEEE, 1–7.
    [2]
    C. O. Ancuti, C. Ancuti, C. D. Vleeschouwer, and P. Bekaert. 2017. Color Balance and Fusion for Underwater Image Enhancement. IEEE Transactions on Image Processing 27, 99 (2017), 379–393.
    [3]
    Jian Fang, Jianyu Chen, Zaid Al-Ars, Peter Hofstee, and Jan Hidders. 2018. Work-in-progress: A high-bandwidth snappy decompressor in reconfigurable logic. In 2018 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS). IEEE, 1–2.
    [4]
    Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, and H Peter Hofstee. 2019. Refine and recycle: A method to increase decompression parallelism. In 2019 IEEE 30Th international conference on application-specific systems, architectures and processors (ASAP), Vol. 2160. IEEE, 272–280.
    [5]
    Guangjie Han, Xiaohan Long, Chuan Zhu, Mohsen Guizani, Yuanguo Bi, and Wenbo Zhang. 2019. An AUV location prediction-based data collection scheme for underwater wireless sensor networks. IEEE Transactions on Vehicular Technology 68, 6 (2019), 6037–6049.
    [6]
    Wei Hu and Bo Wang. 2017. Design and implementation of marine environment monitoring application based on Android platform. In 2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2966–2970.
    [7]
    Yuzhou Li, Yu Zhang, Wei Li, and Tao Jiang. 2018. Marine wireless big data: Efficient transmission, related applications, and challenges. IEEE Wireless Communications 25, 1 (2018), 19–25.
    [8]
    Xiaohe Pan, Jun-Hong Cui, and Jun Liu. 2018. A MAC protocol design for underwater acoustic wifi network. In Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems. 1–2.
    [9]
    Daping Weng, Xueting Zhang, Qingpeng Kong, and Jingbiao Liu. 2014. Marine data collection system for self-elevating buoys. In OCEANS 2014-TAIPEI. IEEE, 1–4.
    [10]
    Fugeng Zeng, Weisheng Li, and Xinchen Guo. 2018. Design of marine environment monitoring system based on wireless sensor network. In 2018 IEEE International Conference of Safety Produce Informatization (IICSPI). IEEE, 506–509.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    WUWNet '21: Proceedings of the 15th International Conference on Underwater Networks & Systems
    November 2021
    202 pages
    ISBN:9781450395625
    DOI:10.1145/3491315
    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]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 March 2022

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. UWSNs
    2. sea experiments
    3. underwater data acquisition
    4. underwater data processing

    Qualifiers

    • Short-paper
    • Research
    • Refereed limited

    Funding Sources

    Conference

    WUWNet'21

    Acceptance Rates

    Overall Acceptance Rate 84 of 180 submissions, 47%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 69
      Total Downloads
    • Downloads (Last 12 months)26
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 27 Jul 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media