Title :
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
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;
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5547-6
DOI :
10.1109/CoDIT.2013.6689596
