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Telescopic data compression for power-efficient sensor networks

Summary

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.

Technology Benefits

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

Technology Application

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

Detailed Technology Description

None

*Abstract

None

*Inquiry

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

*IR

M07-075

*Principal Investigator

*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.

*Web Links

WIPO: WO/2008/141225

Country/Region

USA