The workshop's scope includes all important
aspects of sensor data
management, including data acquisition, processing, and storage in
remote wireless networks; the handling of uncertain sensor data; and
the management of heterogeneous and sometimes sensitive sensor data in
databases. The resource-constrained, lossy, noisy, distributed, and
remote nature of wireless sensor networks implies that traditional
database techniques often cannot be applied without significant
retooling. Challenges associated with acquiring, processing, and
archiving large-scale, heterogeneous sets of live sensor data also call
for novel data management techniques. The inherently incomplete and
noisy nature of sensor data further calls for techniques for data
cleaning, inference, approximation. Finally, in many applications, the
collecting of sensor data raises important privacy and security
concerns that require new protection and anonymization techniques.
