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Dimensions: why do we need a new data handling architecture for sensor networks?
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Volume 33 ,  Issue 1  (January 2003) table of contents
Pages: 143 - 148  
Year of Publication: 2003
ISSN:0146-4833
Authors
Deepak Ganesan  UCLA, Los Angeles, CA
Deborah Estrin  UCLA, Los Angeles, CA
John Heidemann  USC/ISI, Marina Del Rey, CA
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  14

Collaborative Colleagues:
Deepak Ganesan: colleagues
Deborah Estrin: colleagues
John Heidemann: colleagues