DocumentCode
1691494
Title
Distributed compression for sensor networks
Author
Kusuma, Julius ; Doherty, Lance ; Ramchandran, Kannan
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
82
Abstract
We consider the problem of efficiently transmitting sets of spatially correlated observations in a distributed sensor network without requiring inter-node communication to exploit the correlation. Specifically, we provide a construction for quantizer design given a training set, and a distributed compression scheme to efficiently relay the quantized observations to a central decoder
Keywords
data compression; decoding; distributed sensors; image coding; quantisation (signal); central decoder; distributed compression; distributed sensor network; image coding; quantizer design; spatially correlated observations; training set; Bandwidth; Computer networks; Decoding; Distributed computing; Energy efficiency; Intelligent sensors; Relays; Scattering; Spatial resolution; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958958
Filename
958958
Link To Document