Abstract
The choice of the appropriate platform could lead to motivating results in terms of energy consumption and computation time, if the appropriate image and video compression techniques for WSNs application were chosen correctly. Since FPGAs have acquired low power potential, their interest in sensor networks is increasing. Their ability to process complex tasks, particularly image processing, has enabled them to invade several high-performance applications. In this paper, we have highlighted the role of FPGA in this type of network and in particular we have focused on the low-consumption solutions proposed by this type of platform. Those low -power optimized FPGA-based solutions are now able to enhance the computation of several types of algorithms in terms of speed and energy consumption.
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