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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
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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
The Problem
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Motivation
•Optimize power•Optimize longevity•Optimize transmission efficiency
Research Methodology
•Trial and error: spokes
Findings
• Good data storage is hierarchical
Today Yesterday Last week
• Good network topology is also hierarchical
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/