6
Tim Hatch Wireless Sensors: Multi- resolution storage, and transmission structure for data-gathering Photo: taken at the sensor lab

Tim Hatch

Embed Size (px)

DESCRIPTION

Tim Hatch. Wireless Sensors: Multi-resolution storage, and transmission structure for data-gathering. Photo: taken at the sensor lab. The Problem. Motivation. Optimize power Optimize longevity Optimize transmission efficiency. Research Methodology. Trial and error: spokes. Findings. - PowerPoint PPT Presentation

Citation preview

Page 1: Tim Hatch

Tim HatchTim HatchWireless Sensors: Multi-resolution

storage, and transmission structure for data-gathering

Wireless Sensors: Multi-resolution storage, and transmission

structure for data-gathering

Photo: taken at the sensor labPhoto: taken at the sensor lab

Page 2: Tim Hatch

The Problem

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Page 3: Tim Hatch

Motivation

•Optimize power•Optimize longevity•Optimize transmission efficiency

Page 4: Tim Hatch

Research Methodology

•Trial and error: spokes

Page 5: Tim Hatch

Findings

• Good data storage is hierarchical

Today Yesterday Last week

• Good network topology is also hierarchical

Page 6: Tim Hatch

Conclusion

• Wireless sensor research is ongoing, but Ganesan’s work is worth looking into

• Deepak Ganesa, Razvan Cristescu, and Baltasar Deferull-Lozano. Power-efficient sensor placement and transmission structure for data gathering under distortion constraints. ACM Trans. Sen. Netw., 2(2):155-181, 2006.

• Deepak Ganesan, Ben Greenstein, Denis Perelyubskiy, Deborah Estrin, and John Heidemann. An evaluation of multi-resolution storage for sensor networks. In SenSys ‘03: Proceedings of the 1st international conference on Embedded networked sensor systems, pages 89-102, New York, NY, USA, 2003. ACM.

• Photos are CC-licensed from http://flickr.com/photos/adrianblack/423811242/ and http://flickr.com/photos/simonpow/229476498/