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Model-Driven Data Acquisition in Sensor Networks (2004)

By: Amol Deshpande, Carlos Guestrin, Sam Madden, Joseph Hellerstein, and Wei Hong

Abstract: Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that ``the sensornet is a database'' is problematic, however, because sensors do not exhaustively represent the data in the real world. In order to map the raw sensor readings onto physical reality, a model of that reality is required to complement the readings. In this paper, we enrich interactive sensor querying with statistical modeling techniques. We demonstrate that such models can help provide answers that are both more meaningful, and, by introducing approximations with probabilistic confidences, significantly more efficient to compute in both time and energy. Utilizing the combinatio n of a model and live data acquisition raises the challenging optimization problem of selecting the best sensor readings to acquire, balancing the increase in the confidence of our answer against the communication and data acquisition costs in th e network. We describe an exponential time algorithm for finding the optimal solution to this optimization problem, and a polynomial-time heuristic for identifying solutions that perform well in practice. We evaluate our approach on several real-world sensor-network data sets, taking into account the real measured data and commun ication quality, demonstrating that our model-based approach provides a high-fidelity repr esentation of the real phenomena and leads to significant performance gains versus traditi onal data acquisition techniques.



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Amol Deshpande, Carlos Guestrin, Sam Madden, Joseph Hellerstein, and Wei Hong (2004). "Model-Driven Data Acquisition in Sensor Networks." 30th International Conference on Very Large Data Bases (VLDB). Winner of the Best Paper Award. pdf   talk        
BibTeX citation

@inproceedings{Deshpande+al:vldb2004bbq,
author = {Amol Deshpande and Carlos Guestrin and Sam Madden and Joseph Hellerstein and Wei Hong},
title = {Model-Driven Data Acquisition in Sensor Networks},
booktitle = {30th International Conference on Very Large Data Bases (VLDB)},
year = {2004},
address = {Toronto, Canada},
month = {August},
wwwfilebase = {vldb2004-deshpande-guestrin-madden-hellerstein-hong},
wwwtopic = {Sensor Networks},
wwwaward = {Winner of the Best Paper Award}
}



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