Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Electronic shepherd - a low-cost, low-bandwidth, wireless network system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Hardware design experiences in ZebraNet
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Proceedings of the 3rd international conference on Embedded networked sensor systems
Wireless adhoc sensor and actuator networks on the farm
Proceedings of the 5th international conference on Information processing in sensor networks
From Robots to Animals: Virtual Fences for Controlling Cattle
International Journal of Robotics Research
2006 Special issue: Modular learning models in forecasting natural phenomena
Neural Networks - 2006 special issue: Earth sciences and environmental applications of computational intelligence
The design and evaluation of a hybrid sensor network for Cane-Toad monitoring
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Fidelity and yield in a volcano monitoring sensor network
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
LUSTER: wireless sensor network for environmental research
Proceedings of the 5th international conference on Embedded networked sensor systems
Data-driven identification of group dynamics for motion prediction and control
Journal of Field Robotics - Special Issue on Field and Service Robotics
FoneAstra: making mobile phones smarter
Proceedings of the 4th ACM Workshop on Networked Systems for Developing Regions
sMAP: a simple measurement and actuation profile for physical information
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Proceedings of the 2011 International Conference on Communication, Computing & Security
Complex Event Detection in Extremely Resource-Constrained Wireless Sensor Networks
Mobile Networks and Applications
Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors
Open data kit sensors: mobile data collection with wired and wireless sensors
Proceedings of the 2nd ACM Symposium on Computing for Development
An animation framework for improving the comprehension of TinyOS programs
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Towards a discipline of geospatial distributed event based systems
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Towards dependable and stable perception in smart environments with timing and value faults
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
Kyun queue: a sensor network system to monitor road traffic queues
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
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Predictive environmental sensor networks provide complex engineering and systems challenges. These systems must withstand the event of interest, remain functional over long time periods when no events occur, cover large geographical regions of interest to the event, and support the variety of sensor types needed to detect the phenomenon. Prediction of the phenomenon on the network complicates the system further, requiring additional computation on themicrocontrollers and utilizing prediction models that are not typically designed for sensor networks. This paper describes a system architecture and deployment to meet the design requirements and to allow model-driven control, thereby optimizing the prediction capability of the system. We explore the application of river flood prediction using this architecture, describing our work on a centralized form of the prediction model, network implementation, component testing and infrastructure development in Honduras, deployment on a river in Massachusetts, and results of the field experiments. Our system uses only a small number of nodes to cover basins of 1000-10000 square km2 using an unique heterogeneous communication structure to provide real-time sensed data, incorporating self-monitoring for failure, and adapting measurement schedules to capture events of interest.