Abstract —Wavelet based data compression in wireless sensor networks can reduce in-network data transmissions and gain better data approximation. To improve the performance of algorithms based on wavelet data compression, data-smoothness based preprocessing strategy for wavelet data processing is proposed. The strategy can adjust the order of data to be processed for better smoothness through sample mean and control the frequency of data order adjustment by a threshold, achieving better data reconstruction precision with acceptable network control overhead, and higher data compression degree under a given requirement of data reconstruction precision. Theoretical analysis and experiments prove the effectiveness of the strategy.

Index Terms—Wavelet, data smoothness, sensor network, data compression, data preprocessing

Cite: Yalin Nie, Haijun Wang, and Yujie Qin, "Data-Smoothness based Preprocessing Strategy for Wavelet Data Processing in Wireless Sensor Networks," Journal of Communications, vol. 9, no. 10, pp. 762-770, 2014. Doi: 10.12720/jcm.9.10.762-770