现场可编程门阵列
计算机科学
能源消耗
无线传感器网络
计算
过程(计算)
嵌入式系统
功率消耗
高效能源利用
无线
数据压缩
功率(物理)
实时计算
人工智能
工程类
计算机网络
电信
算法
电气工程
量子力学
操作系统
物理
作者
Rym Chéour,Sabrine Khriji,Dhouha El Houssaini,Mouna Baklouti,Mohamed Abid,Olfa Kanoun
标识
DOI:10.1109/maes.2019.2901134
摘要
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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