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Environmental Monitoring Using Sensor Networks (Texas Environmental Observatory) . Jue Yang, Chengyang Zhang, Xinrong Li, Yan Huang, Shengli Fu, and Miguel Acevedo. NSF CI-TEAM Grant 0636421 NSF CRI Grant CNS0709285 EEC-0431818 Texas ARP 003594-0010-2006. - PowerPoint PPT Presentation
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Environmental Monitoring Using Sensor Networks(Texas Environmental Observatory)
Jue Yang, Chengyang Zhang, Xinrong Li, Yan Huang, Shengli Fu, and Miguel Acevedo
NSF CI-TEAM Grant 0636421NSF CRI Grant CNS0709285EEC-0431818Texas ARP 003594-0010-2006
December 17th, 2008 AGU Fall Meeting IN-34A
Background Motivation
• Improve our scientific understanding• Inform the public of their environmental conditions• Forecast and predict• Engaging local governments and teachers• Interdisciplinary research and education
Goal• Providing near real-time information on environmental
conditions • Data readily available to the public and amenable to
modeling, analysis and synthesis
Collaborations UNT
College of Engineering• EE
Wireless sensor networks• CSCE
Ecoinformatics• BEE
Ecosystems College of Arts and Sciences
• Environmental Science & Geography UV, Ozone, Water quality, Ecoplex Weather station , biocomplexity
• Elm Fork Ed Center and LLELA Lessons, education, outreach
• Computer Support Web server, data collection server
Computing and IT Center• Research support
Clusters Infrastructure for Database
PARTNERS City of Denton
• Weather• Flood gates• Water quality
Texas Parks and Wildlife• Greenbelt Corridor
Other cities National Park Service (Big Thicket)
TEO Paradigm
Modeling
Inform
Forecast and predict
Monitoring
Environment Public
Environmental ObservatoryEESAT
Lewisville Lake
Greenbelt Park
Discovery Park
Design Requirements Soil moisture monitoring with flexible spatial coverage and
resolution Seamlessly integrated wired and wireless sensors Long-term autonomous remote near-real-time monitoring Publicly available web services for sensor data visualization
and dissemination Remote system monitoring and maintenance
System Archtecture
System Components
TEO Online (Web Server)
Postegre SQL
GBC Wireless Modem
CDC Server
GPRS
DB Server
DB Feeder
RFG Server
PPP Link
BS
Wireless Sensor Nodes
RS-232Datalogger
System Components
TEO Online (Web Server)
Postegre SQL
Nano Station
CDC Server
DB Server
DB Feeder
RFG Server
BS
Wireless Sensor Nodes
RS-232Datalogger
Ethernet
Ethernet
WiFi
Wireless Sensor Network The WSN hardware platform employed in our current design is
the MICAz mote from Crossbow• 8MHz micro-controller• 4KB RAM, 512KB Flash• MDA300 Data Acquisition Board
12-bit AD• EC-5 Soil Moisture Sensors • IEEE 802.15.4 compliant CC2420 Transceiver 2.4 GHz,, 250 kbps
Adjustable transmission power from -25dBm to 0dBm LOS outdoor transmission range 100 meters
Wireless Sensor Network MICAz motes are powered by solar
cells and rechargeable batteries. To survive extreme weather
conditions, motes are packaged in weatherproof boxes and the boxes are installed 4 feet above the ground on top of metal poles to avoid flooding water and prevent fallen leaves from covering solar cells.
WSN Topology
TEO Online(http://www.teo.unt.edu)
TEO Online(http://www.teo.unt.edu)
Sensor Data Visualization and Dissemination
Conclusion and Future Work A remote near-real-time environmental monitoring system
that is successfully developed and deployed to support long-term environmental studies.
Seamless Integration of the emerging WSN-based system and the legacy wired sensor system.
Scaling-up the soil moisture monitoring WSN at the GBC site to around 100 motes to have a much larger geographic coverage than the current eight-mote deployment.
More observatory sites will be upgraded with the proposed architecture.
Acknowledgements This research is supported in part by NSF under Grants OCI-0636421, CNS-
0709285, and EEC-0431818, and by Texas Advanced Research Program under Grant 003594-0010-2006.
The authors would like to thank David Hunter (City of Denton), Sonny Solis (Texas Parks and Wildlife), Bob Carle (National Weather Service), and members of the TEO Research Group at UNT, especially Rudi Thompson (Biology), Duane Gustavus (CITC), Adam Skelton (EE MS student), Sanjaya Gurung (EE MS student), and Liping Chen (Applied Geography MS student) for their contributions to the development of the TEO system.
Questions?
December 17th, 2008 AGU Fall Meeting IN-34A