The core purpose of the SAMSI Program on Environmental Sensor Networks is to identify research challenges and opportunities in the use of wireless environmental sensor networks to address critical contemporary problems. They include understanding the effects of global climate change, human activity, and invasive species on ecosystem function, and drive the need to understand the dynamics of diverse environmental phenomena and their causes. This problem domain offers unique interdisciplinary research challenges. First, the labor cost of deploying and maintaining these networks is very high, which is limiting adoption of the technology. Secondly, uncertainty is dominant, with noise, numerous failure modes, and over/under-sampling issues driven by conflicts between the needs of network connectivity and spatial design for processes of interest. These problems are compounded by inherent issues of dimensionality and scale: datasets for the biological and physical problems of interest consist of sampled multivariate spatio-temporal process with natural scales ranging from minutes to decades and meters to hundreds or thousands of kilometers.
- Sensor Networks Datasets
- Sensor Design
** To see more in depth information on this program, see the report HERE **