SISS: Sensor-Internet Sharing and Search
The goal of this research is to allow individual or clusters of sensors
to cooperate and share data over the Internet.
We see a future where, at two extremes,
large scientific sensornets are formed of
multiple wireless patches bridged by the Internet,
and where individual sensors are deployed by
casual users or ``citizen scientists'',
with their data posted to sensornet web logs or slogs.
A new network architecture and new approaches
are needed to blend sensornets and the Internet:
- protocols that allow trivial integration of new sensornets
into the Internet, exploiting the huge communications and computation
power in the Internet, yet not compromise the efficiencies that
enable today's wireless sensornets;
- new approaches must be found to manage sensor data disclosure,
evaluation, and analysis, to give users confidence
in their confidentiality and the quality of data from casual sensor streams;
- novel forms of sensor discovery and search are required that
leverage distributed filtering by users, sifting through
structured sensor data and metadata and making them easy to access.
We do not expect to build the one perfect sensor system,
because there is no one such system.
Instead, we are defining open protocols that enable
interoperation of many sensor streams,
each tailored to specific needs,
and that facilitate safe sharing and discovery
of these streams,
with instances of the components to demonstrate these capabilities.
We expect this work to lead to new network architectures
that support traditional Internet services as well as lightweight
and sometimes transient sensornet data sources.
SISS is a joint project of USC/ISI, UCLA/Statistics, and UCLA/Computer Science supported by the
NeTS-FIND program, award number CNS-0626702.
Any opinions, findings, and conclusions or recommendations expressed
in this material are those of the author(s) and do not necessarily
reflect the views of the National Science Foundation or other supporters.
Publications and Presentations
Unkyu Park and John Heidemann."Low-latency Synchronization of Loosely-coupled Sensornet Republishing" USC/ISI Technical Report ISI-TR-660, April 2009.
Gong Chen, Junghoo Cho, Mark H. Hansen.
On the brink: searching for drops in sensor data.
In Proceedings of the International Conference on Extending Database Technology (EDBT), March 2008
Sung Jin Kim and Junghoo Cho, SQL Extension for Exploring Multiple Tables.
Submitted for review to ACM 17th Conference on Information and Knowledge Management, June 2008.
Unkyu Park and John Heidemann, Provenance in Sensornet Republishing. Second International Provenance and Annotation Workshop, Salt Lake City, Utah, USA, June, 2008.
Junghoo Cho, Mark Hansen, John Heidemann, Sung jin Kim, Gong Chen, Brian Fulkerson, Unkyu Park, Sasank Reddy, and Nathan Yau.
SISS: Sensor Internet Sharing and Search.
Posters at NSF FIND PI meeting.
Data-Centric Networking as an ``Information Layer''.
Lightning Talk at NSF FIND PI meeting.
- Sasank Reddy, Gong Chen, Brian Fulkerson, Sung Jin Kim, Unkyu Park, Nathan Yau, Junghoo Cho, and John Heidemann Mark Hansen.
Sensor-Internet Share and Search--Enabling Collaboration of Citizen Scientists. In Proceedings of the ACM Workshop on Data Sharing and Interoperability on the World-wide Sensor Web, Cambridge, Mass., USA, ACM.
- G. Chen, N. Yau, M. Hansen, D. Estrin, 2007. Sharing Sensor Network
Data, CENS Technical Report. Number 71. March 2007.
- G. Chen, J. Cho, M. Hansen, 2007. On the brink: Searching for drops in sensor data, To Appear in Proceedings of the 11th International Conference on Extending Database Technology, March 2008.
< Local copy>.
- John Heidemann.
Sensornets and the Next Big Thing. Keynote talk at the European Conference on Wireless Sensor Networks.
- K. Chang, N. Yau, M. Hansen, D. Estrin, 2006. SensorBase.org - A
Centralized Repository to Slog Sensor Network Data, DCOSS / Euro-
American Workshop on Middleware for Sensor Networks Proceedings.
Last update: $Date: 2009-04-30 13:56:27 -0700 (Thu, 30 Apr 2009) $.