An energy saving audio compression scheme for wireless multimedia sensor networks using spatio-temporal partial discrete wavelet transform

2015 ◽  
Vol 48 ◽  
pp. 389-404 ◽  
Author(s):  
Rajib Banerjee ◽  
Sibashis Chatterjee ◽  
Sipra Das Bit
2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Junho Park ◽  
Jaesoo Yoo

We have proposed preprocessing techniques for high-efficiency data compression in wireless multimedia sensor networks. To do this, we analyzed the characteristics of multimedia data under the environment of wireless multimedia sensor networks. The proposed preprocessing techniques consider the characteristics of sensed multimedia data to perform the first stage preprocessing by deleting the low priority bits that do not affect the image quality. The second stage preprocessing is also performed for the undeleted high priority bits. By performing these two-stage preprocessing techniques, it is possible to reduce the multimedia data size in large. To show the superiority of our techniques, we simulated the existing multimedia data compression scheme with/without our preprocessing techniques. Our experimental results show that our proposed techniques increase compression ratio while reducing compression operations compared to the existing compression scheme without preprocessing techniques.


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