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Mobile Networks and Applications
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Hyperion: high volume stream archival for retrospective querying
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Exploiting data correlation for multi-scale processing in sensor networks
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Composable Information Gradients in Wireless Sensor Networks
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Efficient fume diffusion spotting in heterogeneous sensor networks
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IMSA '07 Proceedings of the Eleventh IASTED International Conference on Internet and Multimedia Systems and Applications
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Computer Communications
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An important class of networked systems is emerging that involve very large numbers of small, low-power, wireless devices. These systems offer the ability to sense the environment densely, offering unprecedented opportunities for many scientific disciplines to observe the physical world. In this paper, we argue that a data handling architecture for these devices should incorporate their extreme resource constraints - energy, storage and processing - and spatio-temporal interpretation of the physical world in the design, cost model, and metrics of evaluation. We describe DIMENSIONS, a system that provides a unified view of data handling in sensor networks, incorporating long-term storage, multi-resolution data access and spatio-temporal pattern mining.