Data Management in Ad-Hoc Geosensor Networks
PI: Silvia Nittel
This project explores data management methods for geosensor networks. An important task of such geosensor networks is to collect, analyze and estimate information about continuous phenomena under observation such as temperature or pollutants. 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. The work includes 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.