A Real-Time Underwater Acoustic Telemetry Receiver With Edge Computing for Studying Fish Behavior and Environmental Sensing

Simple item page
dc.contributor.authorYang, Yangen
dc.contributor.authorElsinghorst, Robberten
dc.contributor.authorMartinez, Jayson J.en
dc.contributor.authorHou, Hongfeien
dc.contributor.authorLu, Junen
dc.contributor.authorDeng, Zhiqun Danielen
dc.date.accessioned2023-05-09T17:53:14Zen
dc.date.available2023-05-09T17:53:14Zen
dc.date.issued2022-09en
dc.description.abstractUnderwater acoustic telemetry has emerged as a powerful tool for practical applications, including resource exploration, environmental monitoring, and aquatic animal tracking. However, current acoustic telemetry systems lack the capability to transmit the collected data continuously in real time, primarily because the acoustic networking bandwidth is limited. Retrieval of the recorded measurements from the deployed receivers usually must be manual, leading to long delays in data retrieval and processing, high operational costs associated with the required manpower, and safety risks for the operators. In addition, there is no efficient way to continuously assess the status of the acoustic telemetry system, including the acoustic transmitters and receivers. Here, we describe the design, implementation, and field validation of a cloud-based, real-time, underwater acoustic telemetry system with edge computing for estimating fish behavior and monitoring environmental parameters. The system incorporates microcontrollers for edge computing and connects to a cloud-based service that further post-processes the transmitted data stream to derive behavior and survival information of tagged animals. The developed system has been demonstrated to have significantly improved performance over the benchmark system because of the integration of edge computing, with a greatly reduced energy consumption of 0.014 W resulting in the energy used by the acoustic modem being reduced by over 300 times. This work opens up new design opportunities for future real-time and multifunctional underwater acoustic systems.en
dc.description.notesThis work was supported by the U.S. Department of Energy (DOE) Office of Technology Transitions and Water Power Technologies Office and the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL). PNNL is a multiprogram national laboratory operated by Battelle for DOE under Contract DE-AC05-76RL01830.en
dc.description.sponsorshipU.S. Department of Energy (DOE) Office of Technology Transitions and Water Power Technologies Office; Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL); DOE [DE-AC05-76RL01830]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/JIOT.2022.3164092en
dc.identifier.issue18en
dc.identifier.urihttp://hdl.handle.net/10919/114992en
dc.identifier.volume9en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAcoustic telemetryen
dc.subjectedge computingen
dc.subjectenvironmental sensingen
dc.subjectInternet of Things (IoT)en
dc.subjectreal-time systemen
dc.titleA Real-Time Underwater Acoustic Telemetry Receiver With Edge Computing for Studying Fish Behavior and Environmental Sensingen
dc.title.serialIEEE Internet of Things Journalen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
YangReal-Time.pdf
Size:
3.7 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections

Scholarly Works, Mechanical Engineering