The problem of representing and querying sensor network readings
issues new research challenges, as traditional techniques and
architectures used for managing relational and object oriented
databases are not suitable in this context. We
present a Grid-based framework that supports aggregate query
answering on sensor network data, and uses a summarization
technique to efficiently accomplish this task. In particular, Grid
nodes are used for collecting, compressing and storing sensor
network readings, as well as extracting information from stored
data. Grid nodes can exchange information among each other, so
that the same piece of information can be stored (with a different
degree of accuracy) into several nodes. Queries are evaluated by
locating the Grid nodes containing the needed information (either
compressed or not), and choosing (among these nodes) the most
convenient ones, according to a cost model.