Veuillez utiliser cette adresse pour citer ce document : https://di.univ-blida.dz/jspui/handle/123456789/31587
Titre: Distributed Image Compression for Image Sensor Networks
Auteur(s): Merdj, Anis
Khalfi, Younes
Midoun, Khadidja ( Promotrice)
Mots-clés: WMSN
Energy Consumption
Image compression
Date de publication: 2024
Editeur: Université Blida 1
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.
Description: ill., Bibliogr. Cote:ma-004-1010
URI/URL: https://di.univ-blida.dz/jspui/handle/123456789/31587
Collection(s) :Mémoires de Master

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