DocumentCode
2107273
Title
Images compression in WSN: Performance analysis
Author
Ghorbel, Oussama ; Ayedi, Walid ; Jmal, M.W. ; Abid, Mohamed
Author_Institution
Nat. Eng. Sch. of Sfax, Sfax Univ., Sfax, Tunisia
fYear
2012
fDate
9-11 Nov. 2012
Firstpage
1363
Lastpage
1368
Abstract
With the recent technological advances in wireless communications, integrated digital circuits; development of wireless sensor networks has been enabled and become dramatically feasible. WSNs are large networks made of a numerous number of sensor nodes with sensing, computation, and wireless communications capabilities. Many various routing, power management, and data dissemination protocols have been designed for wireless sensor networks (WSNs) dependent on both the network architecture and the applications that it is designed for. Image compression is one such technology that has been used in WSN domains and then developed to reduce image size and used by WSN applications. Multimedia networked applications have become more and more feasible over WSNs. There is some research that presents constraints exactly to the use of wireless sensor networks for transporting multimedia applications such as image, video, etc. This paper represent the use of image compression over Wireless Sensor Networks (WSNs) in order to decrease the energy consumption of sensors and thus to maintain a long network lifetime. Here we describe a robust use of DWT and DCT image compression algorithm. Our performance evaluation shows that the DWT transform is better than the DCT in terms of image quality and energy consumption.
Keywords
data compression; discrete cosine transforms; image coding; protocols; telecommunication network reliability; telecommunication network routing; wireless sensor networks; DCT image compression algorithm; DWT transform; WSN; data dissemination protocols; energy consumption; image quality; image size reduction; integrated digital circuits; long network lifetime; multimedia networked applications; network architecture; power management; sensor nodes; wireless communications; wireless sensor networks; Computational complexity; Discrete Cosine Transform (DCT); Discrete Wavelet Transform (DWT); Energy consumption; Experimentation; Image compression; Wireless Sensors Networks (WSNs);
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology (ICCT), 2012 IEEE 14th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-2100-6
Type
conf
DOI
10.1109/ICCT.2012.6511432
Filename
6511432
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