5A.6 The Design and Implementation of an Internet of Things Cyberinfrastructure for the Study of Ecology of Lake George in the Jefferson Project

Tuesday, 9 January 2018: 11:45 AM
Room 17A (ACC) (Austin, Texas)
Anthony P. Praino, International Business Machines Corporation, New York, NY; and E. M. Dow

We describe the design and implementation of an Internet of Things (IoT) cyber infrastructure for environmental sensing in support of the Jefferson Project at Lake George. The Jefferson Project is a collaboration between Rensselaer Polytechnic Institute, IBM, and the FUND for Lake George focused on developing a detailed understanding of the overall ecology of Lake George, including the interactions of the physical, chemical, and biological environment in the watershed. Of key concern for the ecology is the management of road salt, storm water runoff, and invasive species.

Lake George is located in the Adirondack State Park region of upstate New York, approximately 350 km north of New York City. It is a glacial, oligotrophic water body and is unique among fresh water lakes because of its ecology, geographic orientation, historical importance, and tourism-driven economy. To address the project’s objectives and to supporting an on-going research and monitoring program, an integrated modeling and observing system is being developed.. It has three major components. The first is a coupled, high-performance, computing modeling system to physically model the atmospheric, hydrological, and hydrodynamic aspects of the lake and surrounding region. The second is a real-time multi-sensor observing network composed of in-situ sensors for atmospheric, stream and lake measurement, to inform the coupled models as well as provide real-time observation of the lake environment.

The third component of the system is a cohesive, and adaptive, Internet of Things (IoT) cyber infrastructure responsible for the control, coordination, communication, aggregation, and delivery of the various data streams in real-time. The integration of a peer-to-peer observational network and modeling system enabled by the cyber infrastructure provides system-level control of power management, data collection rates and autonomous adaptation of sensing strategies in real time. The integrated system will provide predictive and real-time analytics for research, operations, and management functionality as part of a lake monitoring and assessment program whose principal purpose is the detection and timely response to adverse environmental and ecological effects[l1] . We will present an overview of the CI as well as its operation and integration.

[l1]Since this is the core of the abstract, I think it needs further detail and as a separate paragraph. Real-time and adaptive are used more than once. You should provide some information about the approach and then reference what applications it enables like DA and verification for the models, data management and access, visualization, management of the sensor network, etc. You could also reference the status of the system.

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