statistical challenges in sensor networks jayant gupchup , advised by:

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Jayant Gupchup Phoenix, EWSN 2010 Statistical challenges In Sensor Networks Jayant Gupchup, Advised by: Alex Szalay, Andreas Terzis

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Statistical challenges In Sensor Networks Jayant Gupchup , Advised by: Alex Szalay, Andreas Terzis. A Typical Sensor Network. Stable Storage. Gateway/ Basestation. ……. 3.6 V 19.0 Ah. Collect-All Methodology. Nodes collect data Basestation retrieves “All data” - PowerPoint PPT Presentation

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Page 1: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Statistical challenges

In Sensor Networks

Jayant Gupchup,

Advised by:

Alex Szalay, Andreas Terzis

Page 2: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

A Typical Sensor Network

Gateway/Basestation

Stable Storage

3.6 V19.0 Ah

…….

Page 3: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Collect-All Methodology

Nodes collect data

Basestation retrieves “All data”

In many scenarios – WastefuloMost of the time nothing interesting is happeningoMore communications means more power

consumption

Page 4: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Approaches

Adapt the sampling rateoOnline solution

Collect data from fewer locations during non-interesting timesoOffline solution

Page 5: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Informative location?

Page 6: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Mutual Information

Page 7: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Page 8: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Compare with random

Page 9: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Page 10: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Questions

Page 11: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Gap Filling (Connolly & Szalay)+

Original signal representation as a linear combination of orthogonal vectors

Optimization function- Wλ = 0 if data is absent- Find coefficients, ai’s, that minimize function.

+ Connolly et al., A Robust Classification of Galaxy Spectra: Dealing with Noisy and Incomplete Data, http://arxiv.org/PS_cache/astro-ph/pdf/9901/9901300v1.pdf

Page 12: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Forest Grass Summer

Page 13: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010

Page 14: Statistical challenges In Sensor Networks Jayant  Gupchup , Advised by:

Jayant Gupchup Phoenix, EWSN 2010