FuzzyCAT: A Novel Procedure for Refining the F-transform Based Sensor Data Compression

被引：3

作者：

Bashlovkina, Vasilisa ^{[1
]}

Abdelaal, Mohamed ^{[2
]}

Theel, Oliver ^{[2
]}

机构：

[1] Grinnell Coll, Dept Comp Sci, Grinnell, IA 50112 USA

[2] Carl von Ossietzky Univ Oldenburg, Syst Software & Distributed Syst, Oldenburg, Germany

来源：

IPSN'15: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS | 2015年

关键词：

D O I：

10.1145/2737095.2742921

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：340 / 341

页数：2