A real-time underwater acoustic telemetry receiver with edge computing for studying fish behavior and environmental sensing | |
Yang Y(杨阳); Robbert Elsinghorst; Jayson J. Martinez; Hongfei Hou; Jun Lu; Zhiqun Daniel Deng | |
刊名 | IEEE Internet of Things Journal |
2022-04 | |
卷号 | 无期号:无页码:17821-17831 |
关键词 | Acoustic telemetry edge computing environmental sensing Internet of Things (IoT) real-time system |
ISSN号 | 2327-4662 |
DOI | 10.1109/jiot . 19987 |
通讯作者 | Martinez, Jayson J.(jayson.martinez@pnnl.gov) ; Deng, Zhiqun Daniel(zhiqun.deng@pnnl.gov) |
英文摘要 | Underwater 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. |
资助项目 | U.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] |
WOS关键词 | INTERNET ; DESIGN ; SYSTEM |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000884575200085 |
资助机构 | U.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 |
内容类型 | 期刊论文 |
版本 | 出版稿 |
源URL | [http://ir.idsse.ac.cn/handle/183446/9865] |
专题 | 深海工程技术部_深海资源开发研究室 |
作者单位 | 1.Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USA 2.Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USA 3.Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USA Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, China 4.Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USA Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA 5.Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USA 6.Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USA |
推荐引用方式 GB/T 7714 | Yang Y,Robbert Elsinghorst,Jayson J. Martinez,et al. A real-time underwater acoustic telemetry receiver with edge computing for studying fish behavior and environmental sensing[J]. IEEE Internet of Things Journal,2022,无(无):17821-17831. |
APA | Yang Y,Robbert Elsinghorst,Jayson J. Martinez,Hongfei Hou,Jun Lu,&Zhiqun Daniel Deng.(2022).A real-time underwater acoustic telemetry receiver with edge computing for studying fish behavior and environmental sensing.IEEE Internet of Things Journal,无(无),17821-17831. |
MLA | Yang Y,et al."A real-time underwater acoustic telemetry receiver with edge computing for studying fish behavior and environmental sensing".IEEE Internet of Things Journal 无.无(2022):17821-17831. |
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