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DIMENSIONS: Why do we need a new Data Handling architecture for Sensor Networks?

Deepak Ganesan, Deborah Estrin, and John Heidemann
USC/Information Sciences Institute

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.

Availability

This paper is available in several formats: abstract web page with pointers and cites, PDF, paper copies can be obtained by mail to the authors. Copyright terms for this paper appear below.

Reference

Ganesan02c: Deepak Ganesan, Deborah Estrin, and John Heidemann. DIMENSIONS: Why do we need a new Data Handling architecture for Sensor Networks?. In Proceedings of the ACM Workshop on Hot Topics in Networks, pp. 143-148. Princeton, NJ, USA, ACM. October, 2002. <http://www.isi.edu/~johnh/PAPERS/Ganesan02c.html>.

@inproceedings{Ganesan02c,
	author = "Deepak Ganesan and Deborah Estrin and John Heidemann",
	title = "{DIMENSIONS}: Why do we need a new Data
                         Handling architecture for Sensor Networks?",
	booktitle = "Proceedings of the ACM Workshop on Hot Topics in Networks",
	year = "2002",
	publisher = "{ACM}",
	address = "Princeton, NJ, USA",
	month = "October",
	pages = "143--148",
	keywords = "dimensions, sensor network storage",
	url = "http://www.isi.edu/~johnh/PAPERS/Ganesan02c.html",
	url = "http://www.isi.edu/~johnh/PAPERS/Ganesan02c.html",
	pdfurl = "http://www.isi.edu/~johnh/PAPERS/Ganesan02c.pdf",
}

Copyright

This paper is copyright © 2002 by its authors. Permission to make digital or hard copies of part or all of this work for personal use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that new copies bear this notice and the full citation on the first page. Abstracting with credit is permitted.

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