Sensor network data has both historical and real-time value. Making
historical sensor data useful, in particular, requires storage,
naming, and indexing. Sensor data presents new challenges in these
areas. Such data is location-specific but also distributed; it is
collected in a particular physical location and may be most useful
there, but it has additional value when com- bined with other sensor
data collections in a larger distributed sys- tem. Thus, arranging
location-sensitive peer-to-peer storage is one challenge. Sensor
data sets do not have obvious names, so naming them in a globally
useful fashion is another challenge. The last challenge arises from
the need to index these sensor data sets to make them searchable.
The key to sensor data identity is prove- nance, the full history
or lineage of the data. We show how prove- nance addresses the
naming and indexing issues and then present a research agenda for
constructing distributed, indexed repositories of sensor data.