DocumentCode
2783942
Title
A novel cooperative image transmission scheme in Wireless Sensor Networks
Author
Ma, Tao ; Hempel, Michael ; Hua, Kun ; Peng, Dongming ; Sharif, Hamid
Author_Institution
Comput. & Electron. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
fYear
2010
fDate
10-14 Oct. 2010
Firstpage
240
Lastpage
243
Abstract
Reducing transmission energy consumption is one of the most critical research issues in the area of Wireless Sensor Networks (WSNs). In this paper, we present our scheme for employing collaborative signal enhancement to achieve energy efficient image transmissions in WSNs. A collaborative signal enhancement approach is compelling due to its capability of saving individual energy consumption by spreading total transmission consumption over multiple sensors. Individual packets describing an embedded wavelet-encoded image exhibit a significantly unequal contribution towards image quality. By leveraging this fact we develop a strategy of appropriately selecting the number of collaborative sensors for each packet transmission in order to achieve the highest possible image quality given a restricted transmission energy consumption budget. Experimental results show that our proposed approach can provide about 2dB higher image quality under the same energy budget compared with the state-of-the-art collaborative transmission scheme in WSN literature.
Keywords
image coding; wavelet transforms; wireless sensor networks; collaborative signal enhancement; cooperative image transmission scheme; embedded wavelet-encoded image; image quality; restricted transmission energy consumption budget; transmission energy consumption reduction; wireless sensor networks; Collaboration; Image communication; Image quality; Image sensors; Mathematical model; Sensors; Wireless sensor networks; collaborative transmission; energy efficiency; image transmission; multimedia; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks (LCN), 2010 IEEE 35th Conference on
Conference_Location
Denver, CO
ISSN
0742-1303
Print_ISBN
978-1-4244-8387-7
Type
conf
DOI
10.1109/LCN.2010.5735711
Filename
5735711
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