An Adaptive Header Compression Scheme in Wireless Multimedia Sensor Networks

2007 ◽  
Vol 18 (5) ◽  
pp. 1122 ◽  
Author(s):  
Xin-Yun ZHOU
Keyword(s):  
Sensor Networks ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Compression Scheme ◽  
Multimedia Sensor Networks ◽  
Header Compression

scholarly journals Preprocessing Techniques for High-Efficiency Data Compression in Wireless Multimedia Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Junho Park ◽  
Jaesoo Yoo
Keyword(s):  
Sensor Networks ◽  
Data Compression ◽  
High Efficiency ◽  
Wireless Multimedia Sensor Networks ◽  
Multimedia Data ◽  
Wireless Multimedia ◽  
Compression Scheme ◽  
Multimedia Sensor Networks ◽  
Second Stage ◽  
Efficiency Data

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.

scholarly journals A Distributed Image Compression Scheme for Energy Harvesting Wireless Multimedia Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 667
Author(s):  
Chong Han ◽  
Songtao Zhang ◽  
Biao Zhang ◽  
Jian Zhou ◽  
Lijuan Sun
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Solar Energy ◽  
Image Compression ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Compression Scheme ◽  
Multimedia Sensor Networks ◽  
Normal Node

As an emerging technology, edge computing will enable traditional sensor networks to be effective and motivate a series of new applications. Meanwhile, limited battery power directly affects the performance and survival time of sensor networks. As an extension application for traditional sensor networks, the energy consumption of Wireless Multimedia Sensor Networks (WMSNs) is more prominent. For the image compression and transmission in WMSNs, consider using solar energy as the replenishment of node energy; a distributed image compression scheme based on solar energy harvesting is proposed. Two level clustering management is adopted. The camera node-normal node cluster enables camera nodes to gather and send collected raw images to the corresponding normal nodes for compression, and the normal node cluster enables the normal nodes to send the compressed images to the corresponding cluster head node. The re-clustering and dynamic adjustment methods for normal nodes are proposed to adjust adaptively the operation mode in the working chain. Simulation results show that the proposed distributed image compression scheme can effectively balance the energy consumption of the network. Compared with the existing image transmission schemes, the proposed scheme can transmit more and higher quality images and ensure the survival of the network.

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