Paper
28 November 2000 Collaborative signal processing for sensor networks
Stephen R. Blatt
Author Affiliations +
Abstract
Networks of distributed sensors offer the promise of persistent and inexpensive surveillance of critical areas, while posing problems in the design of algorithms for processing sensor data into useful information. Specific issues include combining raw data from multiple nodes while minimizing the use of RF links. Collaborative processing techniques that restrict communications to between nearby nodes are discussed. Techniques have been developed to build a consensus among sensor nodes about what is happening in the physical world through controlling collaboration between neighboring nodes and using neighborhood information to develop track information. These techniques are applied while minimizing power consumption through dynamic distribution of processing, approximate processing approaches, and efficient digital encoding of measurements.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen R. Blatt "Collaborative signal processing for sensor networks", Proc. SPIE 4126, Integrated Command Environments, (28 November 2000); https://doi.org/10.1117/12.407522
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Signal processing

Sensor networks

Surveillance

Data centers

Information technology

Computer programming

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