| > Oceanography > Issues > Archive > Volume 20, Number 4 |
2007, Oceanography 20(4):150–155, http://dx.doi.org/10.5670/oceanog.2007.15
Broadband, Low-Cost, Coastal Sensor Nets
Authors | First Paragraph | Full Article | Citation
Authors
David P. Fries | EcoSystems Technology Group, College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
Stanislav Z. Ivanov | College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
Pragnesh H. Bhanushali | College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
James A. Wilson | College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
Heather A. Broadbent | College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
Arthur C. Sanderson | Electrical, Computer and Systems Engineering Department, Center for Industrial Innovation, Rensselaer Polytechnic Institute, Troy, NY, USA
First Paragraph
High-bandwidth wireless communication links could provide major improvements to integrated ocean observatory systems. The potential of broadband wireless networks opens up numerous application scenarios for coastal environmental monitoring, research, and security. High-bandwidth networks allow the incorporation of bandwidth-hogging video/voice applications along with arrays of environmental sensors, which typically have low data rates. We remotely monitored an ecological hotspot in Tampa Bay waters using low-cost sensor nodes deployed in a wide-area, broadband sensor network. The sensors used in this network were an example of micromachining technology called micro-electro-mechanical-systems (MEMS). Sensors using this technological approach can be designed to monitor the biological, chemical, and physical environment, or they can be used to detect microbial, chemical, or radiological agents. One key device in our demonstration was a low-cost, low-power salinity sensor (CTD) made of waterproof, printed circuit MEMS materials. Another element of the sensor Web was an offshore camera that permitted remote viewing of surface-water conditions in real time for a sustained period. The sensors were attached to an array of easily fieldable 802.11b-capable network nodes. The low cost of the sensor nodes makes it possible to economically deploy a large array. These high- and low-bit-rate sensor nodes provide real-time data and are remotely configurable, enabling an adaptive broadband observing system.
Full Article
Citation
Fries, D.P., S.Z. Ivanov, P.H. Bhanushali, J.A. Wilson, H.A. Broadbent, and A.C. Sanderson. 2007. Broadband, low-cost, coastal sensor nets. Oceanography 20(4):150–155, http://dx.doi.org/10.5670/oceanog.2007.15.