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Multipoint sensing by intelligent collectives

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dc.contributor.author Clare, L. P. en_US
dc.date.accessioned 2004-09-17T05:15:32Z
dc.date.available 2004-09-17T05:15:32Z
dc.date.issued 2002-05-08 en_US
dc.identifier.citation 1st Annual Symposium on autonomous Intelligent Networks and Systems en_US
dc.identifier.citation Los Angeles, CA, USA en_US
dc.identifier.clearanceno 02-1139 en_US
dc.identifier.uri http://hdl.handle.net/2014/8594
dc.description.abstract Many remote sensing applications require that multiple sensors collect data simultaneously at spatially distributed locations and their information combined in order to characterize the phenomena of interest. Several basic classes of such multipoint measurement systems may be identified. For each, centralized methods exist for combining the raw data from the various sensors. However, recent advancements have given rise to small, integrated nodes comprised of one or more miniaturized sensors, processor, wireless communications capability and power supplies. Collections of these may be deployed and self-organized into intelligent sensor networks capable of performing cooperative signal processing locally, thereby providing substantial benefits. en_US
dc.format.extent 3097998 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other multipoint measurement sensor networks en_US
dc.title Multipoint sensing by intelligent collectives en_US


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