North Carolina A & T State University

CRI Description

The purpose of the NSF CRI Program is to develop an infrastructure to support research on the development of wireless sensor networks for environmental monitoring with an emphasis on water quality management. The supported research will also include data collection, data mining and modeling and simulation related to environmental monitoring with an emphasis on water quality management. The testbeds will be used to experimentally verify simulation models for wireless network protocols and for TMDL protocols for selected impaired water bodies in North Carolina. The ultimate goal is to develop a practical sensor network that can be used to monitor pollutants for water quality management on a timely basis.

Research in CRI:

- Data Acquisition using Wireless Sensor Networks:

The objective of this research is to collect environmental data from wireless motes in a wireless sensor network. This project incorporates external environmental sensors with wireless motes developed by Crossbow Technology. Combining these technologies tailors the wireless sensor network to collect data specific to environmental parameters such as humidity, temperature, oxygen levels, etc.

Working on Data Acquisition using Wireless Sensors		Wireless Motes with External Environmental Sensor

- Wireless Sensor Network Database:

The objective of this research is to develop a visualization tool, displaying data collected from wireless sensor networks. This project includes the management of environmental data using a relational database. This project¡¯s purpose is to provide an efficient and reliable method to store and view data from a PC for future analysis.

Database for Wireless Sensor Network displaying Temperature (left) and Humidity (right) Readings Spanning 24hr

- Remote Water Quality Monitoring using Wireless Sensor Networks:

The objective of this research is to develop an application for wireless sensor networks focused on remote water quality monitoring. This project aims to replace an existing water quality monitoring system used at the swine units on the Aggie Farm with an efficient and cost effective wireless sensor network system. This research will aide in research efforts conducted by the Department of Natural Resources & Environmental Design at North Carolina A&T State University to verify the effectiveness of constructed wetlands in treating swine wastewater. The goal of this project is to remotely view data collected in real-time at this wetland using wireless sensor networks and wireless networking technology.

Diagram of Wireless Sensor Network Application at Aggie Farm Wetland

Infrastructure for a Water Monitoring system Using Wireless Sensor Networks

People in CRI

Electrical and Computer Engineering Department

• Dr. Jung H. Kim, Professor, kim@ncat.edu



• Dr. John Kelly, Chair and Professor, jck@ncat.edu



• Dr. Winser E. Alexander, Visiting Professor, winser@ncsu.edu

Computer Science Department

• Dr. Jung Hee Kim, Associate Professor, jungkim@ncat.edu



• Dr. Albert Esterline, Associate Professor, esterlin@ncat.edu



• Dr. Kenneth Williams, Associate Professor, williams@ncat.edu

Agriculture and Environmental Sciences Department

• Dr. G.. B. Reddy, Chair and Professor, reddyg@ncat.edu



• Dr. Manuel Reyes, Associate Professor, reyes@ncat.edu

Publication

1. Trevillian Highter, Jung Hee Kim, Jung Hyoun Kim, and John Kelly, ¡°An Efficient Database for Environmental Monitoring through Wireless Sensor Network,¡± accepted to the International Conference on Information and Knowledge Engineering (IKE'08), Las Vegas, July 2008.



2. Yaohang Li, Albert Esterline, et al., ¡°A Sensor Information Framework for Integrating and Orchestrating Distributed Sensor Services,¡± accepted by the 2008 Int. Conf. on Parallel and Distributed Processing Techniques and Applications, Las Vegas, Nevada, July, 2008.



3. A. Esterline and C. BouSaba, ¡°An Ontology for Tactical Behaviors Derived from Verb Frames,¡± Proc. of the Unmanned Systems Technology X Conf. (SPIE Symposium on SPIE Defense and Security Symposium), Orlando, FL, March 2008.



4. Y. Li, A. Esterline, et al., ¡°A Service-Oriented Pilot Project to Access and Visualize Distributed Sensor Data,¡± Proc. 6th Annual NOAA-CREST Symposium, Mayaguez, Puerto, Feb., 2008.



5. Ro T. Le and Jung Hee Kim. ¡°Environmental Data Collection for Database through Wireless Sensor Network,¡± 22nd Annual Ronald E.McNair Commemorative Celebration and Seventh national Research Symposium. Jan. 2008.



6. Ruqayyah H. Mustafa and Jung Hee Kim. ¡°Advanced Wireless Sensor Network Applications for Environmental Monitoring,¡± 22nd Annual Ronald E.McNair Commemorative Celebration and Seventh national Research Symposium. Jan. 2008.



7. Trevillian Highter, Jung Hee Kim, and Winser Alexander. ¡°A Sensor network Database for Monitoring Environmental Conditions,¡± Proceedings of the 3rd National Conference on Environmental Science and Technology, Greensboro, NC, Sep. 2007.



8. Esterline, Albert, ¡°Scaffolding and the Insufficiency of the Intentional Stance as a Conceptual Underpinning for Multiagent Systems,¡± in Tim Finin et al., Papers from the AAAI Fall Symposium: Regarding the ¡®Intelligence¡¯ in Distributed Intelligent Systems, Menlo Park, CA: AAAI Press (Tech. Rep. FS-07-06), 2007.



9. M. Heavner, R. Fatland, E. Hood, C. Connor, T. Hansen, M. Schultz, T. LeFavre, and A. Esterline, ¡°Sensor Webs in Digital Earth: Monitoring Climate Change Impacts,¡± ¡± Proc. 3rd Nat. Conf. on Environmental Science and Technology, Greensboro, NC, Sept., 2007, to be published by Springer.



10. W. Edmonson, S. Ocloo, C. Williams, and W. Alexander, "The Use of Interval Methods in Signal Processing and Control for Systems Biology," Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, April2007.