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Adaptive compression of slowly varying images transmitted over Wireless Sensor Networks
George Nikolakopoulos1, Dionisis Kandris, Anthony Tzes
1Department of Electrical and Computer Engineering, University of Patras, Rio 26500, Greece. gnikolak@ece.upatras.gr
Sensors (Basel, Switzerland)
|December 14, 2011
Summary
This study introduces an adaptive image compression scheme for Wireless Sensor Networks (WSN). It adjusts image quality based on network traffic and image detail to optimize transmission time and quality.
Area of Science:
- Computer Science
- Electrical Engineering
- Network Engineering
Background:
- Wireless Sensor Networks (WSN) face challenges in transmitting image data due to limited bandwidth and resources.
- Efficient image compression is crucial for effective data transmission in WSNs.
Purpose of the Study:
- To propose an adaptive compression scheme for image transmission over WSNs.
- To dynamically adjust image quality based on network conditions and image content.
Main Methods:
- Developed a control architecture for adaptive image compression.
- Utilized Quad Tree Decomposition (QTD) with a gradient adaptive approach for compression.
- Incorporated a transmission time delay bound for scheme initialization.
Main Results:
- The adaptive compression factor effectively manages image quality based on network traffic load.
- Image quality is adjusted in response to the level of detail within image frames.
- The scheme demonstrates a trade-off between image quality and transmission time.
Conclusions:
- The proposed adaptive compression scheme enhances image transmission efficiency in WSNs.
- The control mechanism successfully balances image quality and transmission delay.
- Experimental results validate the efficacy of the adaptive compression control scheme.
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