@InProceedings{Heidemann01d,
	author = 	"John Heidemann and Nirupama Bulusu",
	title = 	"Using Geospatial Information in Sensor Networks",
	booktitle = 	"Proceedings of the " # "Workshop on Intersections between Geospatial Information and Information Technology",
	year = 		2001,
	sortdate = 		"2001-10-01",
	project = "ilense, scadds",
	jsubject = "sensornet_localization",
	publisher =	"National Research Council",
	address =	"Arlington, VA, USA",
	month =		oct,
	xxxpages =	"no global page numbers",
	location =	"johnh: pafile",
	location =	"johnh: folder: xxx",
	keywords =	"localization, spatial sensor mining, xxx",
	url =		"http://www.isi.edu/%7ejohnh/PAPERS/Heidemann01d.html",
	pdfurl =	"http://www.isi.edu/%7ejohnh/PAPERS/Heidemann01d.pdf",
	xpsurl =		"http://www.isi.edu/%7ejohnh/PAPERS/Heidemann01d.ps.gz",
	myorganization =	"USC/Information Sciences Institute",
	copyrightholder = "authors",
	abstract = "
This paper describes several ways sensor networks can benefit from
geospatial information and identifies two research directions.  First,
better models of localization error, logical location, and
communications costs are required to understand the interactions
between spatial information and control and communications algorithms
in sensor networks.  Second, wider use of spatial information in
densely deployed sensor networks will move sensor networking
applications from simple tracking to object counting and area
monitoring, and can enable the use of data mining techniques to sensor
networks for ``spatial sensor mining''.
",
}

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