Subsurface Contaminant Monitoring and Prediction using Wireless Sensor Networks
Release of chemicals or biological agents in the subsurface often results in plumes migrating in the medium, posing risk to human and ecological environments. Temporal and spatial monitoring of the plume concentrations are needed to assess risk, make decisions and take remedial action. Current underground contaminant plume monitoring technologies are inefficient, expensive and ineffective. Wireless sensor technologies have the potential to dramatically improve this process.
A closed-loop system integrating wireless sensor network based monitoring with numerical models for plume tracking is being developed, in which sensor data continuously calibrates and validates the system identification and prediction models, while the output from these models direct the sensor network operation to optimize constraints such as accuracy and power consumption. The system is based on a novel virtual sensor network architecture with broader applicability beyond plume tracking. Algorithms and protocols being developed support the formation, usage, adaptation and maintenance of dynamic subsets of collaborating sensors, named Virtual Sensor Networks (VSNs). VSN protocols for collaboration among groups of sensors will greatly ease the task of deploying sensor networks, especially in environments where multiple geographically overlapping applications are deployed. A proof-of-concept laboratory test bed that captures the complex subsurface processes is used for integration and evaluation of VSN protocols. This interdisciplinary project significantly advances the state-of-the art in subsurface plume tracking and sensor networking technologies. It stimulates a unique partnership of electrical engineers, computer scientists and environmental researchers, and demonstrate closed-loop operation of computer models and sensor networks to solve complex environmental problems.
- Qi Han (Faculty)
- Nicholas Hubbell (Master's Student)
- Tissa Illangasekare (Co-PI, Division of Environmental Science and Engineering, Colorado School of Mines)
- Toshi Sakaki (Co-PI, Division of Environmental Science and Engineering, Colorado School of Mines)
- Anura Jayasumana (PI at Colorado State University)
- Kevin Barnhart (Environmental Science and Engineering, PhD student)
- Paul Shulte (CS, MS student)
- Lisa Porta (Environmental Science and Engineering, MS student)
- Kyle Fullerton (Undergraduate Student)
- Anhvu Le (Undergraduate Student)
- Philip Loden (Undergraduate Student)
- Alex Osecky (Undergraduate Student)
- Breian Wells (Undergraduate Student)
- Kevin Barnhart, Inigo Urteaga, Qi Han, Anura P.Jayasumana, and Tissa Illangasekare, On Integrating Groundwater Transport Models with Wireless Sensor Networks, Journal of Ground Water, Vol. 48, No. 5, September/October 2010.
- Qi Han, Doug Hakkarrinen, Pruet Boonma and Jun Suzuki, Quality-Aware Sensor Data Collection, International Journal of Sensor Networks, Special Issue on Data Quality Management in Wireless Sensor Networks, Vol. 7, No. 3, 2010.
- Paul Shulte, Design of Experiments in a Three Dimensional Synthetic Aquifer for Evaluation of Wireless Sensor Network Technologies Applied to Real-time Model Calibration and Plume Management, Master's Thesis, 2009, Division of Environmental Science and Engineering, Colorado School of Mines
- Philip Loden, Qi Han, Lisa Porta, Inigo Urteaga, Kevin Barnhart, Doug Hakkarinen, Tissa Illangasekare and Anura Jayasumana, A Wireless Sensor System for Validation of Real-time Automatic Calibration of Groundwater Transport Models, Journal of Systems and Software, Vol. 82, No. 11, November 2009.
- Inigo Urteaga, Kevin Barnhart, and Qi Han, REDFLAG: A REal-time, Distributed, Flexible, Lightweight, And Generous Fault Detection Service for Data-driven Sensor Applications, Pervasive and Mobile Computing (PMC), Vol. 5, No. 5, October 2009.
Read more about REDFLAG here.
- Lisa Porta, Tissa H. Illangasekare, Philip Loden, Qi Han, Anura P. Jayasumana, Continuous Plume Monitoring Using Wireless Sensors: Proof of Concept In Intermediate Scale Tank, ASCE's Journal of Environmental Engineering, Vol. 135, No. 9, September 2009.
- Ying Zhu and Qi Han, The More Relay Nodes, The More Energy Efficient? IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Vancouver, Canada, August 2009.
- Inigo Urteaga, Kevin Barnhart, and Qi Han, REDFLAG: A REal-time, Distributed, Flexible, Lightweight, And Generous Fault Detection Service for Data-driven Sensor, Applications, IEEE International Conference on Pervasive Computing and Communications (PerCom), Gavelston, TX, March 2009.
Read more about REDFLAG here.
- Dulanjalie C. Dhanapala, Anura P. Jayasumanaand Qi Han, Performance of Random Routing on Grid-based Sensor Networks, IEEE International Conference on Consumer Communications and Networking Conference (CCNC), January 2009.
- Doug Hakkarinen and Qi Han, Data Quality Driven Sensor Reporting, The First IEEE Workshop on Quality of Information in Sensor Networks (QoISN), October 2008.
- Kevin Barnhart, Inigo Urteaga, Qi Han, Anura P. Jayasumana and Tissa Illangasekare, Integration of Groundwater Transport Models with Wireless Sensor Networks, MODFLOW and More: Ground Water and Public Policy, May 2008.
- Qi Han, Anura P. Jayasumana, Tissa Illangasekare and Toshi Sakaki, A Wireless Sensor Network based Closed-loop System for Subsurface Contaminant Monitoring, NSF Workshop on Next Generation Software (NSFNGS, in conjunction with IEEE IPDPS), Miami, Florida, April 2008.
- Lisa Porta, 2007. "Continuous Plume Monitoring and Model Calibration Using a Wireless Sensor Network: Proof of Concept in Intermediate Scale Tank". M.S. Thesis.
- Anura Jayasumana, Qi Han, Tissa H. Illangasekare, Virtual Sensor Networks - A Resource Efficient Approach for Concurrent Applications,The 4th IEEE International Conference on Information Technology - Next Generations (ITNG), Las Vegas, NV, April, 2007
This project is supported in part by NSF CSR grants CNS-0720875 and CNS-0720889.