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Tim Hatch

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.

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Tim Hatch

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

  2. The Problem

  3. Motivation • Optimize power • Optimize longevity • Optimize transmission efficiency

  4. Research Methodology • Trial and error: spokes

  5. Findings • Good data storage is hierarchical Today Yesterday Last week • Good network topology is also hierarchical

  6. 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/

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