Résumé:
As the demand for surveillance and monitoring continues to grow, the necessity for an
efficient network to manage these tasks becomes increasingly critical. Wireless Multimedia
Sensor Networks (WMSNs) effectively address these needs. However, the large volume of
multimedia data poses several challenges for WMSNs, with energy consumption being the
most significant issue. This work presents a solution to mitigate high energy consumption by
implementing a hybrid image compression method distributed across sensors. This hybrid
technique combines two lossy compression methods: discrete wavelet transform (DWT) and
two-dimensional discrete cosine transform (DCT). Initially, the image is decomposed using
DWT into low and high-frequency sub-bands. Each "n × n" block of the low-frequency subband
undergoes transformation using two-dimensional DCT. A fuzzy logic system (FLS)
selects optimal sensors for the distribution tasks within the network. This approach
significantly reduces processing time and extends the network's lifespan while maintaining data
quality.
Key work: WMSN, Energy Consumption, Image compression.
