An operational real-time ocean sensor network in the Gulf of Maine

被引:0
|
作者
Pettigrew, Neal R. [1 ]
Roesler, Collin S. [2 ]
Neville, Francois [3 ]
Deese, Heather E. [1 ]
机构
[1] Univ Maine, Sch Marine Sci, Orono, ME 04469 USA
[2] Bigelow Lab Ocean Sci, Boothbay Harbor, ME 04575 USA
[3] Univ Maine, Spatial Informat Engn, Orono, ME 04469 USA
来源
GEOSENSOR NETWORKS | 2008年 / 4540卷
关键词
Ocean Observing Systems; sensor networks; real-time; GoMOOS; neural networks; ocean optics; CODAR; Gulf of Maine;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Gulf of Maine Ocean Observing System (GoMOOS) was established in the summer of 2001 as a prototype real-time observing system that now includes eleven solar-powered buoys with physical and optical sensors, four shore-based long-range HF radar surface current systems, circulation and wave models, satellite observations, and hourly web delivery of data. The Gulf of Maine is a harsh operational environment. Its winter storms pose severe challenges including the build up of sea ice on buoy sensors, superstructure, and solar panels, and in summer its productive waters present severe biofouling problems that can affect the optical sensors. The periods of most difficult operations often coincide with periods of greatest data value in terms of marine safety, search and rescue, and monitoring biological productivity. GoMOOS scientists and engineers continue to refine system designs and operational procedures to moderate the environmental stresses on the sensors and systems.
引用
下载
收藏
页码:213 / +
页数:3
相关论文
共 50 条
  • [31] Real-Time Wireless UWB Sensor Network for Person Monitoring
    Drutarovsky, Milos
    Kocur, Dusan
    Svecova, Maria
    Garcia, Nuno M.
    PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS CONTEL 2017, 2017, : 19 - 26
  • [32] Video sensor network for real-time traffic monitoring and surveillance
    Semertzidis, T.
    Dimitropoulos, K.
    Koutsia, A.
    Grammalidis, N.
    IET INTELLIGENT TRANSPORT SYSTEMS, 2010, 4 (02) : 103 - 112
  • [33] A Real-Time Vehicle Navigation Algorithm in Sensor Network Environments
    Chen, C. L. Philip
    Zhou, Jin
    Zhao, Wei
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 13 (04) : 1657 - 1666
  • [34] Sensor Network for Real-time In-situ Seismic Tomography
    Shi, Lei
    Song, Wen-Zhan
    Dong, Fan
    Kamath, Goutham
    IOTBD: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND BIG DATA, 2016, : 118 - 128
  • [35] A Sensor Network to obtain Real-Time Rain-Attenuation
    Cuevas-Ruiz, J. L.
    2015 INTERNATIONAL CONFERENCE ON COMPUTING SYSTEMS AND TELEMATICS (ICCSAT), 2015,
  • [36] OPERATIONAL FORECASTING WITH REAL-TIME DATABASES
    BAE, DH
    GEORGAKAKOS, KP
    NANDA, SK
    JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 1995, 121 (01): : 49 - 60
  • [37] Real-time insights into operational metrics
    不详
    HYDROCARBON PROCESSING, 2003, 82 (04): : 29 - 30
  • [38] An In-Network Reduction Algorithm for Real-time Wireless Sensor Network Applications
    Aquino, Andre L. L.
    Loureiro, Antonio A. F.
    Fernandes, Antonio O.
    Mini, Raquel A. F.
    WMUNEP'08 : PROCEEDINGS OF THE FOURTH ACM INTERNATIONAL WORKSHOP ON WIRELESS MULTIMEDIA NETWORKING AND PERFORMANCE MODELING, 2008, : 18 - 25
  • [39] Network Coded Cooperative Communication in a Real-Time Wireless Hospital Sensor Network
    R. Prakash
    A. Balaji Ganesh
    Somu Sivabalan
    Journal of Medical Systems, 2017, 41
  • [40] Network Coded Cooperative Communication in a Real-Time Wireless Hospital Sensor Network
    Prakash, R.
    Ganesh, A. Balaji
    Sivabalan, Somu
    JOURNAL OF MEDICAL SYSTEMS, 2017, 41 (05)