FuzzyCAT: a novel procedure for refining the F-transform based sensor data compression

Abstract

This paper aims at developing a novel compression technique which breaks the "downward spiral" between compression ratio and recovery precision. Based on the previously developed Fuzzy Transform Compression (FTC), we design and implement a modified version of the algorithm, referred to as Fuzzy Compression Adaptive Transform (FuzzyCAT). The crux of FuzzyCAT is to adapt the transform parameters to the signal's curvature inferred from the time derivativesA comparative study with the Lightweight Temporal Compression (LTC) technique revealed that transmission costs of the FuzzyCAT nodes are much less than that of the LTC, which makes it an outstanding candidate for data compression in Wireless Sensor Networks.