NSF Faculty Early Career Development Award (NSF CAREER award) (2005-2010)
Principal Investigator:
Academic Institution:
This project explores data management methods for geosensor
networks, i.e. large collections of very small, battery-driven sensor nodes deployed in the geographic environment that measure
the temporal and spatial variations of physical quantities such as temperature or ozone levels. An important task of such geosensor networks is to collect, analyze and
estimate information about continuous phenomena under observation such as a toxic cloud close to a chemical plant in real-time
and in an energy-efficient way. The main thrust of this project is the integration of spatial data analysis techniques with
in-network data query execution in sensor networks. The project investigates novel algorithms such as incremental, in-network
kriging that redefines a traditional, highly computationally-intensive spatial data estimation method for a distributed, collaborative
and incremental processing between tiny, energy and bandwidth constrained sensor nodes. This work includes the modeling of
location and sensing characteristics of sensor devices with regard to observed phenomena, the support of temporal-spatial
estimation queries, and a focus on in-network data aggregation algorithms for complex spatial estimation queries. Combining
high-level data query interfaces with advanced spatial analysis methods will allow domain scientists to use sensor networks
effectively in environmental observation.
Project-Related Publications:
Coming soon....
Other Links:
Last Modified: 2005/May