Title :
Distributed Scalar Quantizers for Gaussian Channels
Author :
Wernersson, N. ; Karlsson, J. ; Skoglund, M.
Author_Institution :
Sch. of Electr. Eng., R. Inst. of Technol., Stockholm
Abstract :
The problem of designing simple and energy efficient sensor nodes for a wireless sensor network is considered in a joint source-channel coding perspective. An algorithm for designing distributed scalar quantizers optimized for orthogonal additive white Gaussian noise channels is proposed and evaluated. It is demonstrated that correlation between sources can be useful in order to reduce quantization distortion as well as protecting data when being transmitted over non-ideal channels. It is also demonstrated that the obtained system is robust against channel SNR mismatch.
Keywords :
Gaussian channels; Gaussian noise; quantisation (signal); wireless sensor networks; Gaussian channels; Gaussian noise channels; distributed scalar quantizer; energy efficient sensor node; joint source-channel coding; quantization distortion; wireless sensor network; Additive white noise; Algorithm design and analysis; Design optimization; Energy efficiency; Gaussian channels; Noise robustness; Protection; Quantization; Signal to noise ratio; Wireless sensor networks;
Conference_Titel :
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-1397-3
DOI :
10.1109/ISIT.2007.4557473
