Title :
Nonlinear coding and estimation for correlated data in wireless sensor networks
Author :
Wernersson, Niklas ; Skoglund, Mikael
Author_Institution :
ACCESS Linnaeus Center, R. Inst. of Technol., Stockholm, Sweden
fDate :
10/1/2009 12:00:00 AM
Abstract :
The problem of designing simple and energy efficient nonlinear distributed source-channel codes is considered. By demonstrating similarities between this problem and the problem of bandwidth expansion, a structure for source-channel codes is presented and analyzed. Based on this analysis an understanding about desirable properties for such a system is gained and used to produce an explicit source-channel code which is then analyzed and simulated. One of the main advantages of the proposed scheme is that it is implementable for many sources, contrary to most existing nonlinear distributed source-channel coding systems.
Keywords :
combined source-channel coding; nonlinear codes; nonlinear estimation; wireless sensor networks; correlated data; distributed source-channel codes; nonlinear coding; nonlinear estimation; wireless sensor networks; Analytical models; Bandwidth; Channel coding; Delay; Density measurement; Linear code; Quantization; Sensor systems; Source coding; Wireless sensor networks; Source coding; channel coding; correlation; quantization;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2009.10.080230