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Wireless networking / Sensor node / Computing / Sensor / Prognostics / SensorML / Technology / Wireless sensor network / Sensors


From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment Paul G. Flikkema1 , Pankaj K. Agarwal2, James S. Clark2 , Carla Ellis2 , Alan Gelfand2 , Kamesh Munagala2 , and Jun Yang2
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Document Date: 2007-04-28 02:00:00


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City

Asilomar / Reading / San Diego / Pula-Cagliari / /

Company

Princeton University Press / Cambridge University Press / Networked Sensor Systems / /

Country

United States / Italy / United Kingdom / /

EntertainmentAwardEvent

Reverence / /

Event

Environmental Issue / /

Facility

Duke University / Northern Arizona University / /

IndustryTerm

embedded wireless sensor networks / sensor networks / energy cost / instrumentation technology / satellite imagery / wireless sensor network architecture / awless network / wireless sensor network / Wireless sensor networking / Wireless sensor networks / Wireless Sensing / dynamic distributed data application systems / instrument technology / wireless networks / energy usage / energy / /

NaturalFeature

Duke Forest / /

Organization

Cambridge University / National Research Council / Northern Arizona University / Princeton University / Duke University / Durham / /

Person

G. David Tilman / /

Position

model for data collection / Chair / forward / D.J. / /

ProvinceOrState

California / Arizona / /

Region

Northern Arizona / /

Technology

instrumentation technology / simulation / instrument technology / /

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