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Telescopic data compression for power-efficient sensor networks

总结: Remote sensing networks collect physical data (temperature, light, pressure, etc.) over a wide area. Such a network consists of interconnected individual data sensors spread over the area. The resolution of the data is limited by the density of the individual sensors. The energetic cost of data transmission is an important consideration in such networks. Higher sensor density leads to greater resolution but also increased power usage, an unfortunate trade-off. This technology mitigates the trade-off. This technology is designed to work with high density (over-sampling) sensor networks. Normally such a network would be a huge power drain, but this technology manages the sensors to present a less-detailed and compressed picture under normal functioning. When a sub-area presents data of interest, this technology can zoom in (like a telescope) to a particular area and reconfigure to present high resolution data. This saves energy and power, without sacrificing resolution and detail when needed.

技术优势: Uses less powerSaves on energyRetains high resolution on demandPatent information:Patent Issued (US 7,952,963)Tech Ventures Reference: IR M07-075

技术应用: Sensor networks for temperature monitoringSensor networks for light monitoringSensor networks for pressure monitoringSensor networks for sound monitoringSensor networks for motion monitoringForest fire detectionIndoor fire detectionEarthquake or tsunami detectionVirtual security fences

*Inquiry: Satish RaoColumbia Technology VenturesTel: (212) 854-8444Email: TechTransfer@columbia.edu

*Publications: Cheung YH, Maxemchuk NF. "Telescopic Data Compression in Dense Sensor Networks that Support Fire-Fighters." Global Telecommunications Conference, 2007. GLOBECOM ‘07. IEEE. 2007 Nov 26-30;914-919.

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