Title :
Distributed Audio Coding in Wireless Sensor Networks
Author :
Dong, Hui ; Lu, Jiangang ; Sun, Youxian
Author_Institution :
National Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou
Abstract :
The strict constrains of wireless sensor networks (WSN) on individual sensor node´s resource brings great challenges to the information processing. In order to maximize compression and minimize energy cost in WSN, a novel wavelet-based distributed audio coding (WDAC) algorithm is proposed. This approach fully exploits the correlation of the signal in both spatial and frequency domain by using distributed lifting wavelet transform with boundary effects. A low-complexity change detection algorithm (LCDA) is developed to mark active blocks and we only encode these active regions to save energy significantly. The simulation results showed that these approaches is energy efficient and has low complexity with less memory requirements in implementation
Keywords :
audio coding; correlation methods; data compression; wavelet transforms; wireless sensor networks; audio compression; change detection algorithm; distributed lifting wavelet transform; frequency domain; information processing; sensor node; signal correlation; spatial domain; wavelet-based distributed audio coding; wireless sensor networks; Audio coding; Change detection algorithms; Costs; Detection algorithms; Energy efficiency; Frequency domain analysis; Information processing; Wavelet domain; Wavelet transforms; Wireless sensor networks;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295349
