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

DIMENSIONS: Why do we need a new Data Handling architecture for Sensor Networks?. Ganesan, D., Estrin, D., & Heidemann, J. In Proceedings of the ACM Workshop on Hot Topics in Networks, pages 143–148, Princeton, NJ, USA, October, 2002. ACM.

Paper abstract bibtex

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.

@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,
	sortdate = 		"2002-10-01",
	project = "ilense, cens, scadds, nocredit",
	jsubject = "sensornet_general",
	 publisher =	"ACM",
	 address =	"Princeton, NJ, USA",
	 month =		oct,
	 pages =		"143--148",
	 location =	"johnh: folder: xxx",
	 location =	"johnh: pafile",
	 keywords =	"dimensions, sensor network storage",
	 otherurl =		"http://lecs.cs.ucla.edu/%7edeepak/PAPERS/dimensions.pdf",
	 url =		"http://www.isi.edu/%7ejohnh/PAPERS/Ganesan02c.html",
	 pdfurl =	"http://www.isi.edu/%7ejohnh/PAPERS/Ganesan02c.pdf",
	 copyrightholder = "ACM",
	 copyrightterms = "	Permission to make digital or 	hard copies of part or all of this work for personal or 	classroom 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. Copyrights for components of this 	work owned by others than ACM must be honored. Abstracting with 	credit  is permitted.   	To copy otherwise, to republish, to post on servers or to 	redistribute to lists, requires prior specific permission 	and/or a fee. Request Permissions from 	Publications Dept, ACM Inc., 	Fax +1 (212) 869--0481, or 	permissions@acm.org. ",
	 myorganization =	"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.
 ",
}

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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. 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Copyrights for components of this \twork owned by others than ACM must be honored. Abstracting with \tcredit is permitted. \tTo copy otherwise, to republish, to post on servers or to \tredistribute to lists, requires prior specific permission \tand/or a fee. Request Permissions from \tPublications Dept, ACM Inc., \tFax +1 (212) 869--0481, or \tpermissions@acm.org. \",\n\t myorganization =\t\"USC/Information Sciences Institute\",\n\t abstract = \"\n An important class of networked systems is emerging that involve very\n large numbers of small, low-power, wireless devices. These systems\n offer the ability to sense the environment densely, offering\n unprecedented opportunities for many scientific disciplines to observe\n the physical world. 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