An Evaluation of Multi-Resolution Search and Storage in Resource-Constrained Sensor Networks (2003)
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@MISC{Ganesan03anevaluation,
author = {Deepak Ganesan and Ben Greenstein and Denis Perelyubskiy and Deborah Estrin and John Heidemann},
title = {An Evaluation of Multi-Resolution Search and Storage in Resource-Constrained Sensor Networks},
year = {2003}
}
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Abstract
Wireless sensor networks enable dense sensing of the environment, offering unprecedented opportunities for observing the physical world. Centralized data collection and analysis adversely impact sensor node lifetime. Previous sensor network research has, therefore, focused on in network aggregation and query processing, but has done so for applications where the features of interest are known a priori. When features are not known a priori, as is the case with many scientific applications in dense sensor arrays, efficient support for multi-resolution storage and iterative, drill-down queries is essential.
