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Challenges in Sensor Networks: Maximizing Data Efficiency for Stable Storage Systems

Learn about statistical challenges in sensor networks and strategies to optimize data collection efficiency for stable storage systems. Explore methods to reduce power consumption by adapting sampling rates and enhancing data retrieval processes. Enhance data collection through informative location selection and mutual information analysis.

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Challenges in Sensor Networks: Maximizing Data Efficiency for Stable Storage Systems

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  1. Statistical challenges In Sensor Networks Jayant Gupchup, Advised by: Alex Szalay, Andreas Terzis

  2. A Typical Sensor Network Stable Storage Gateway/ Basestation ……. 3.6 V 19.0 Ah

  3. Collect-All Methodology • Nodes collect data • Basestation retrieves “All data” • In many scenarios – Wasteful • Most of the time nothing interesting is happening • More communications means more power consumption

  4. Approaches • Adapt the sampling rate • Online solution • Collect data from fewer locations during non-interesting times • Offline solution

  5. Informative location?

  6. Mutual Information

  7. Compare with random

  8. Questions

  9. 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

  10. Forest Grass Summer

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