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.

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Presentation transcript:

Jue Yang, Chengyang Zhang, Xinrong Li, Yan Huang, Shengli Fu, and Miguel Acevedo NSF CI-TEAM Grant NSF CRI Grant CNS EEC Texas ARP

 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

 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)

Modeling Inform Forecast and predict Monitoring Environment Public

EESAT Lewisville Lake Greenbelt Park Discovery Park

 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

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-232 Datalogger

TEO Online (Web Server) Postegre SQL Nano Station CDC Server DB Server DB Feeder RFG Server BS Wireless Sensor Nodes RS-232 Datalogger Ethernet WiFi

 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 compliant CC2420 Transceiver 2.4 GHz,, 250 kbps  Adjustable transmission power from -25dBm to 0dBm  LOS outdoor transmission range 100 meters

 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.

 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.

 This research is supported in part by NSF under Grants OCI , CNS , and EEC , and by Texas Advanced Research Program under Grant  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.

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