Data compression trade-offs in sensor networks

Details Data compression trade-offs in sensor networks Data compression trade-offs in sensor networks

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5561...96c&link_type=abstract

Mathematics of Data/Image Coding, Compression, and Encryption VII, with Applications. Edited by Schmalz, Mark S. Proceedings

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This paper first discusses the need for data compression within sensor networks and argues that data compression is a fundamental tool for achieving trade-offs in sensor networks among three important sensor network parameters: energy-efficiency, accuracy, and latency. Next, it discusses how to use Fisher information to design data compression algorithms that address the trade-offs inherent in accomplishing multiple estimation tasks within sensor networks. Results for specific examples demonstrate that such trades can be made using optimization frameworks for the data compression algorithms.

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