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Image compression can be achieved efficiently using Wavelet transformation concept in wireless sensor network. Torrent based architecture can be plugged successfully in wireless sensor network. The results are analyzed in this study and outcome of experiment is stated with respect to performance parameters. Wavelet is a template to record changes those occur in real-world data or signals. These changes may occur abruptly, smoothly or frequently. In other words, Wavelet represents a slowly altering contrast or brightness. Images have some smooth and abrupt regions in one specific place and the scanning proceeds in any of the direction, these regions are interrupted by abrupt changes in color or brightness or contrast. It results in gathering the most interesting part of the image data. One can categorize the change in term of contrast or brightness data. One may record this change in terms of the waves, image metadata or coefficients array and thus achieve image compression. Torrent based architecture multiply the processing capabilities of a cluster of sensor nodes. The single node cannot handle heavy processing task, a large number of bytes and communication at a time. Hence processing schedule and communication schedule management algorithms are needed to be designed and allocated separately to a specific set of nodes.

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