DocumentCode :
624523
Title :
Developing and evaluating a lossless compression scheme for scientific data from a nanosatellite
Author :
Clark, Spencer ; Makaroff, Dwight ; Stanley, Kevin
Author_Institution :
Dept. of Comput. Sci., Univ. of Saskatchewan, Saskatoon, SK, Canada
fYear :
2013
fDate :
5-8 May 2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper examines the problem of of developing a lossless compression scheme for data from a nano-satellite being developed by the University of Saskatchewan Space Design team, the USST-Sat. The benefit of compressing scientific data from the satellite will be an increased ability to perform experiments and downlink the results. Goals for the compression scheme are to maximize space savings and result in a net energy savings over storing and transmitting uncompressed data. Our evaluations show that the custom scheme that we developed, called USST-Compress, performs compression as well as or better than the generic compression schemes evaluated, and additionally results in better net energy savings.
Keywords :
aerospace computing; artificial satellites; data compression; USST-Compress; USST-Sat; University of Saskatchewan space design team; lossless compression scheme; nanosatellite; net energy savings; scientific data; space savings; uncompressed data; Compression algorithms; Huffman coding; Noise; Payloads; Satellites; Compression algorithms; Computer science; Data compression; Low earth orbit satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location :
Regina, SK
ISSN :
0840-7789
Print_ISBN :
978-1-4799-0031-2
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2013.6567819
Filename :
6567819
Link To Document :
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