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Components of Artificial Neural Networks Realized in CMOS Technology to be Used in Intelligent Sensors in Wireless Sensor Networks

机译:CMOS技术实现的人工神经网络的组件,可用于无线传感器网络中的智能传感器

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The article presents novel hardware solutions for new intelligent sensors that can be used in wireless sensor networks (WSN). A substantial reduction of the amount of data sent by the sensor to the base station in the WSN may extend the possible sensor working time. Miniature integrated artificial neural networks (ANN) applied directly in the sensor can take over the analysis of data collected from the environment, thus reducing amount of data sent over the RF communication block. A prototype specialized chip with components of the ANN was designed in the CMOS 130 nm technology. An adaptation mechanism and a programmable multi-phase clock generator—components of the ANN—are described in more detail. Both simulation and measurement results of selected blocks are presented to demonstrate the correctness of the design.
机译:本文介绍了可用于无线传感器网络(WSN)的新型智能传感器的新颖硬件解决方案。由传感器发送到WSN中的基站的数据量的大量减少可能会延长可能的传感器工作时间。直接应用于传感器的微型集成人工神经网络(ANN)可以接管对从环境中收集的数据的分析,从而减少通过RF通信模块发送的数据量。采用CMOS 130 nm技术设计了具有ANN组件的原型专用芯片。自适应机制和可编程多相时钟发生器(ANN的组成部分)将得到更详细的描述。给出了所选模块的仿真和测量结果,以证明设计的正确性。

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