Data Preprocessing Algorithm for Better Haar-Based Data Compression in Wireless Sensor Networks

摘要

Processing in-network data by Haar wavelet is an effective way to reduce data transmissions and reconstruct data with high precision for applications in wireless sensor networks. To improve the performance of data compression algorithms based on Haar wavelet in wireless sensor networks, a data preprocessing algorithm for better Haar-based data compression is proposed. It can gain data with good smoothness by a simple sorting mechanism while make the extra control overhead tolerable by two thresholds, which leads to (1) the more precise reconstructed data with proper extra control overhead or (2) the less compressed data under a given reconstruction precision requirement. Theory analysis and experiments proves its effectiveness.