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Feasibility Analysis of Reconfigurable Computing in Low-Power Wireless Sensor Applications

机译:低功耗无线传感器应用中可重构计算的可行性分析

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With increasing complexity of sensor network applications, the trade-off between node-local processing and transmission of data to a central node for handling becomes more significant. For distributed structural health monitoring applications (SHM), we consider different realization choices of the underlying wireless sensor network and implement a key part of the application (a high-order filter) on the novel HaLoMote architecture, a reconfigurable wireless sensor node (rWSN) with FPGA-based processing capability. We compare different tool flows supporting development of algorithms above the RTL regarding to achievable area and energy efficiency and outline the advantage of rWSN over traditional MCU- and DSP-based sensor systems in this scenario.
机译:随着传感器网络应用程序复杂性的提高,在节点本地处理和将数据传输到中央节点进行处理之间的权衡变得越来越重要。对于分布式结构健康监测应用程序(SHM),我们考虑基础无线传感器网络的不同实现选择,并在新颖的HaLoMote架构(可重新配置的无线传感器节点(rWSN))上实现应用程序的关键部分(高阶滤波器)。具有基于FPGA的处理能力。我们比较了在可实现的面积和能效方面支持RTL之上算法开发的不同工具流程,并概述了在这种情况下rWSN优于传统的基于MCU和DSP的传感器系统的优势。

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