Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2023.2295145
Energy-efficient image compression algorithm for wireless sensor networks in structural health monitoring applications
G. Sudha
; Department of Electronics and Communication Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
C. Tharini
; Department of Electronics and Communication Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
*
* Dopisni autor.
Sažetak
In Wireless Sensor Networks (WSN), transmitting an uncompressed image consumes more
energy than a compressed image, and it is, therefore, the prime requirement to establish energyaware compression methods to extend the life of the sensor node, and ultimately the network
as a whole. This work suggests an image compression algorithm with a low degree of complexity for WSNs in structural health monitoring applications. This algorithm represents a pruning
approach to a Discrete Cosine Transform approximation transform in which the transformation
matrix is modified to reduce the series of steps and the compression ratio achieved is better compared to the actual image which makes it easy for the data storage. Because of the reduction in
the number of data bits, it enhances the lifetime of the network by reducing the number of node
failures caused by resource scarcity. The implementation is tested by capturing real-time images
of concrete walls in buildings using Raspberry Pi3B + WSN gateway fitted with camera modules.
The scheme is also investigated in terms of a variety of parameters like Peak Signal to Noise Ratio,
Mean Square Error, Structural SIMilarity Index and Compression Ratio. This technique achieves
the best arbitration of energy consumption and image quality
Ključne riječi
WSNs; image compression; approximate DCT; pruned 8-point DCT; lifetime improvement; WSN gateway
Hrčak ID:
323040
URI
Datum izdavanja:
15.1.2024.
Posjeta: 0 *