Abstract
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.
Highlights
In recent, with the development of hardware technologies and monitoring schemes, the applications for gathering multimedia data such as sound and image using multimedia sensors have been increased [1, 2]
As the multimedia data are very large over simple data in traditional sensor networks, the network lifetime of the sensor network is significantly reduced due to excessive energy consumption in particular nodes for transmitting the multimedia data [3]
We have proposed preprocessing techniques for high-efficiency data compression in wireless multimedia sensor networks
Summary
With the development of hardware technologies and monitoring schemes, the applications for gathering multimedia data such as sound and image using multimedia sensors have been increased [1, 2]. Most of the existing compression schemes for sensor data are based on signal compression such as wavelet and variable quantization and code compression [5] These studies are not suitable for the environments based on wireless sensor networks. A novel compression scheme based on the Chinese remainder theorem for the multimedia data has been proposed in [6]. The compression scheme based on the Chinese remainder theorem considered the characteristics and limitation of wireless multimedia sensor networks. We propose preprocessing techniques for high-efficiency data compression in wireless multimedia sensor networks. The proposed 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. Advances in Multimedia techniques for high-efficiency data compression in wireless multimedia sensor networks.
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