TinyDB is a key component of a research
effort exploring the relationships between database technologies and
highly distributed, streaming, lossy, or real-world environments, such
as networks of motes. These environments present a fundamentally
different set of challenges than those faced by conventional enterprise
DBMSes. The
Telegraph Research Project is focused
on understanding these challenges and building systems to overcome them.
What follows is a brief list of the most relevant research on the
interactions between databases and sensor networks; see
this page for a more complete list of
work on adaptive database systems from the UC Berkeley database group.
Our
Papers
-
Sam Madden, Michael J. Franklin, Joseph M. Hellerstein and Wei Hong.
TinyDB: An Acqusitional Query Processing System for
Sensor Networks. ACM TODS,
2005. [PDF]
- Amol Deshpande, Carlos
Guestrin, Samuel Madden, and Wei Hong. Exploiting
Correlated Attributes in Acquisitional Query
Processing. ICDE, 2005. [PDF]
- Phil Buonadonna, David
Gay, Joseph M. Hellerstein, Wei Hong, and Sam
Madden. TASK: Sensor Network in a Box. European
Workshop on Sensor Networks (EWSN),
2005. [PDF]
- Amol Deshpande, Carlos
Guestrin, Sam Madden, Joseph M. Hellerstein, and Wei Hong.
Model-Driven Data Acquisition in Sensor Networks.
VLDB 2004. [PDF]
- Joseph M. Hellerstein and
Wei Wang. Optimization of In-Network Data Reduction.
International Workshop on Data Management for Sensor Networks (DMSN),
2004. [PDF]
- Joseph M. Hellerstein, Wei
Hong and Sam Madden. The Sensor Spectrum: Technology,
Trends, and Requirements. SIGMOD Record 32(4),
Dec. 2003. [PDF]
- Samuel R. Madden, Michael J.
Franklin, Joseph M. Hellerstein, and Wei Hong. The Design of an Acquisitional Query Processor for Sensor Networks. SIGMOD,
June 2003. [PDF]
- Joseph M. Hellerstein, Wei Hong,
Samuel Madden, and Kyle Stanek. Beyond Average: Towards
Sophisticated Sensing with Queries. To Appear, 2nd International
Workshop on Information Processing in Sensor Networks (IPSN '03),
March 2003. [PDF]
- Samuel R. Madden, Michael J.
Franklin, Joseph M. Hellerstein, and Wei Hong. TAG: a Tiny AGgregation Service for Ad-Hoc Sensor Networks. OSDI, December 2002.
[PDF]
- Samuel R. Madden, Robert Szewczyk,
Michael J. Franklin and David Culler. Supporting Aggregate Queries
Over Ad-Hoc Wireless Sensor Networks. Workshop on Mobile Computing
and Systems Applications, 2002 (to appear). [PDF]
- Samuel R. Madden. Query Processing
For Streaming Sensor Data. Ph.D. Qualifying Exam Proposal, May 2002.
[PDF]
- Samuel R. Madden and Michael J.
Franklin. Fjording the Stream: An Architecture for Queries over
Streaming Sensor Data. ICDE Conference, 2002. [PDF]
- Samuel R. Madden, Mehul A. Shah,
Joseph M. Hellerstein, and Vijayshankar Raman. Continuously Adaptive
Continuous Queries over Streams. SIGMOD Conference, 2002. [PDF.]
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