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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结果和测量结果，以证明设计的正确性。

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期刊名称 Sensors (Basel Switzerland)
作者
Tomasz Talaśka;
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作者单位

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年(卷),期 2018(18),12
年度 2018
页码 4499
总页数 19
原文格式 PDF
正文语种
中图分类
关键词
wireless sensor networks intelligent sensors artificial neural networks ASIC CMOS technology low power solutions parallel data processing;

机译：无线传感器网络;智能传感器;人工神经网络;ASIC;CMOS技术;低功耗解决方案;并行数据处理;
入库时间 2022-08-17 12:49:42

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专利

1. Components of Artificial Neural Networks Realized in CMOS Technology to be Used in Intelligent Sensors in Wireless Sensor Networks [J] . Tomasz Tala?ka Sensors . 2018,第12期

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
2. A 0.9 V Supply OTA in 0.18 μm CMOS Technology and Its Application in Realizing a Tunable Low-Pass Gm-C Filter for Wireless Sensor Networks [J] . Soolmaz Abbasalizadeh, Samad Sheikhaei, Behjat Forouzandeh Circuits and Systems . 2013,第1期

机译：采用0.18μmCMOS技术的0.9 V电源OTA及其在实现可调谐低通Gm-C滤波器的无线传感器网络中的应用
3. A 0.9 V Supply OTA in 0.18 μm CMOS Technology and Its Application in Realizing a Tunable Low-Pass Gm-C Filter for Wireless Sensor Networks [J] . Soolmaz Abbasalizadeh, Samad Sheikhaei, Behjat Forouzandeh Circuits and systems . 2013,第1期

机译：采用0.18μmCMOS技术的0.9 V电源OTA及其在实现可调谐低通Gm-C滤波器的无线传感器网络中的应用
4. Intelligent data aggregation in sensor networks using artificial neural-networks algorithms [C] . A. Kulakov, D. Davcev NSTI Nanotechnology Conference and Trade Show(NSTI Nanotech 2005) vol.3; 20050508-12; Anaheim,CA(US) . 2005

机译：使用人工神经网络算法的传感器网络中的智能数据聚合
5. IntelliSensorNet: A Positioning Technique Integrating Wireless Sensor Networks and Artificial Neural Networks for Critical Construction Resource Tracking. [D] . Soleimanifar, Meimanat. 2011

机译：IntelliSensorNet：一种集成了无线传感器网络和人工神经网络的定位技术，可用于关键施工资源跟踪。
6. Real-Time Identification of Smoldering and Flaming Combustion Phases in Forest Using a Wireless Sensor Network-Based Multi-Sensor System and Artificial Neural Network [O] . Xiaofei Yan, Hong Cheng, Yandong Zhao, 2016

机译：基于无线传感器网络的多传感器系统和人工神经网络实时识别森林中的阴燃和火焰燃烧阶段
7. Components of Artificial Neural Networks Realized in CMOS Technology to be Used in Intelligent Sensors in Wireless Sensor Networks [O] . Tomasz Talaśka 2018

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

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

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