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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958958
