Efficient Data Compression in Wireless Sensor Networks for Civil Infrastructure Health Monitoring

Author

Liu, Shengpu ; Liang Cheng

Author_Institution

Dept. of Comput. Sci. & Eng., Lehigh Univ., Bethlehem, PA

Volume

3

fYear

2006

fDate

28-28 Sept. 2006

Firstpage

823

Lastpage

829

Abstract

In this paper, we present an efficient sensor data compression process for civil infrastructure health monitoring applications. It integrates lifting scheme wavelet transform (LSWT) and distributed source coding (DSC), which can reduce the raw data size by 1:27 to 1:80 while having a minor effect on the modal parameters identified from the sensor data. We have compared our algorithms with other data compression algorithms for structural health monitoring. Results show that our algorithms can achieve 80% ~ 100% higher compression ratios with the same signal-restoration quality

Keywords

civil engineering; condition monitoring; source coding; wavelet transforms; wireless sensor networks; civil infrastructure health monitoring; distributed source coding; lifting scheme wavelet transform; modal parameters; sensor data compression process; signal-restoration quality; wireless sensor networks; Computer science; Computerized monitoring; Data compression; Encoding; Frequency; Low-frequency noise; Signal processing algorithms; Source coding; Wavelet transforms; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor and Ad Hoc Communications and Networks, 2006. SECON '06. 2006 3rd Annual IEEE Communications Society on

Conference_Location

Reston, VA

Print_ISBN

1-4244-0626-9

Type

conf

DOI

10.1109/SAHCN.2006.288567

Filename

4068376