Energy optimization in wireless sensor networks based on DWT using 9/7 wavelet filters

Author

Nasri, Mohsen ; Helali, Abdelhamid ; Maaref, Hassen

Author_Institution

Lab. of Micro-Optoelectron. & Nanostruct. (LMON), Fac. of Sci. of Monastir, Monastir, Tunisia

fYear

2013

fDate

6-8 May 2013

Firstpage

505

Lastpage

510

Abstract

Energy optimization is one of the major concerns in wireless sensor network applications since it impacts the life of individual node. In this paper, we investigate an efficient compression scheme that ensures a significant computational and energy reduction. This scheme is based on two image compression techniques. The proposed techniques are based on wavelet image transform. The simulation results show that the purpose is effective on the performance of energy consumption compared with the standard transform with a guarantee for the image quality to be lower-bounded.

Keywords

data compression; discrete wavelet transforms; filtering theory; image coding; wireless sensor networks; 9/7 wavelet filters; DWT; compression scheme; energy consumption; energy optimization; energy reduction; image compression techniques; image quality; wavelet image transform; wireless sensor network; Computer architecture; Discrete wavelet transforms; Image coding; Sensors; Wireless sensor networks; Discrete wavelet transform; Energy optimization; Wireless Sensor Networks; lifting scheme;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Decision and Information Technologies (CoDIT), 2013 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-5547-6

Type

conf

DOI

10.1109/CoDIT.2013.6689596

Filename

6689596