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用于无线传感器网络设备的综合电气模型。

Comprehensive electrical models for a wireless sensor network device.

作者信息

León Ávila Bernardo Yaser, García Vázquez Carlos Alberto, Pérez Baluja Osmel, Cotfas Daniel Tudor, Cotfas Petru Adrian

机构信息

Transilvania University of Brașov, Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Brasov, 500036, Romania.

University of Sancti Spiritus "José Martí Pérez", Department of Computer Engineering, Faculty of Business and Technical Sciences, Comandante Manuel Fajardo s/n, Olivos 1, Sancti Spíritus, 60100, Cuba.

出版信息

Heliyon. 2024 Nov 15;10(23):e40415. doi: 10.1016/j.heliyon.2024.e40415. eCollection 2024 Dec 15.

DOI:10.1016/j.heliyon.2024.e40415
PMID:39654796
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11625280/
Abstract

This paper proposes a novel circuit model of a Wireless Sensor Network (WSN) device. The model is designed to accurately represent the behavior of a WSN device operating in a duty cycle, capturing the essential characteristics of its components, including the microcontroller, sensor, transceiver, and power supply. The proposed model incorporates static and dynamic power consumption aspects, reflecting the energy usage patterns during various operational states such as sensing, processing, and communication. The model's accuracy is validated through a comparative analysis with a LTspice® implementation and a real mote implemented for this study. Simulation results closely match the empirical data, demonstrating the model's effectiveness in predicting the mote's behavior. This approach provides a valuable tool for optimizing power consumption and extending the lifetime of WSN deployments within a simulation environment, offering significant insights for designers and researchers in this field.

摘要

本文提出了一种新型的无线传感器网络(WSN)设备电路模型。该模型旨在精确呈现处于占空比工作状态下的WSN设备的行为,捕捉其组件(包括微控制器、传感器、收发器和电源)的基本特性。所提出的模型纳入了静态和动态功耗方面,反映了在诸如传感、处理和通信等各种运行状态期间的能量使用模式。通过与LTspice®实现以及为本研究实现的实际节点进行对比分析,验证了该模型的准确性。仿真结果与经验数据紧密匹配,证明了该模型在预测节点行为方面的有效性。这种方法为在仿真环境中优化功耗和延长WSN部署的寿命提供了一个有价值的工具,为该领域的设计师和研究人员提供了重要的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/24dc2752a7cd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/0650118b1e4e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/895fe9dd8e3a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/9ee4c785d8a4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/cbd4499fcf27/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/d68e334c9b6f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/37cdce2f868d/gr6a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/24dc2752a7cd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/0650118b1e4e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/895fe9dd8e3a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/9ee4c785d8a4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/cbd4499fcf27/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/d68e334c9b6f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/37cdce2f868d/gr6a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11625280/24dc2752a7cd/gr7.jpg

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