• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一款灵敏度为 -90 dBm 的调谐射频占空比唤醒接收器。

A Tuned-RF Duty-Cycled Wake-Up Receiver with -90 dBm Sensitivity.

作者信息

Bdiri Sadok, Derbel Faouzi, Kanoun Olfa

机构信息

Department of Electrical Engineering and Information Technology, Leipzig University of Applied Sciences, Wächter Street 13, 04107 Leipzig, Germany.

Department of Electrical Engineering and Information Technology, Chemnitz University of Technology, Reichenhainer Street 70, 09126 Chemnitz, Germany.

出版信息

Sensors (Basel). 2017 Dec 29;18(1):86. doi: 10.3390/s18010086.

DOI:10.3390/s18010086
PMID:29286345
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5795938/
Abstract

A novel wake-up receiver for wireless sensor networks is introduced. It operates with a modified medium access protocol (MAC), allowing low-energy consumption and practical latency. The ultra-low-power wake-up receiver operates with enhanced duty-cycled listening. The analysis of energy models of the duty-cycle-based communication is presented. All the WuRx blocks are studied to obey the duty-cycle operation. For a mean interval time for the data exchange cycle between a transmitter and a receiver over 1.7 s and a 64-bit wake-up packet detection latency of 32 ms, the average power consumption of the wake-up receiver (WuRx) reaches down to 3 μ W . It also features scalable addressing of more than 512 bit at a data rate of 128 k bit / s . At a wake-up packet error rate of 10 - 2 , the detection sensitivity reaches a minimum of - 90 dBm . The combination of the MAC protocol and the WuRx eases the adoption of different kinds of wireless sensor networks. In low traffic communication, the WuRx dramatically saves more energy than that of a network that is implementing conventional duty-cycling. In this work, a prototype was realized to evaluate the intended performance.

摘要

本文介绍了一种用于无线传感器网络的新型唤醒接收器。它采用了一种改进的介质访问协议(MAC)运行,具有低能耗和实际延迟的特点。该超低功耗唤醒接收器通过增强的占空比监听来运行。文中给出了基于占空比通信的能量模型分析。对所有唤醒接收器(WuRx)模块进行了研究,以使其符合占空比操作。对于发射器和接收器之间数据交换周期的平均间隔时间超过1.7秒且64位唤醒数据包检测延迟为32毫秒的情况,唤醒接收器(WuRx)的平均功耗降至3微瓦。它还具有在128千比特/秒的数据速率下超过512位的可扩展寻址功能。在唤醒数据包错误率为10⁻²时,检测灵敏度最低可达 - 90 dBm。MAC协议和WuRx的结合便于采用不同类型的无线传感器网络。在低流量通信中,WuRx比实施传统占空比的网络显著节省更多能量。在这项工作中,实现了一个原型来评估预期性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/90f736a5342e/sensors-18-00086-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/7ff751112689/sensors-18-00086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/1087e9fa957f/sensors-18-00086-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/ad1b1b9cacdf/sensors-18-00086-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/ddc9e8daba39/sensors-18-00086-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/e97eb73e201f/sensors-18-00086-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/be7c75bbb307/sensors-18-00086-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/ad53ad38eed8/sensors-18-00086-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/dcae3d66cdc1/sensors-18-00086-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/470e03a23662/sensors-18-00086-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/a44886d51ce8/sensors-18-00086-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/dcd9631c328b/sensors-18-00086-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/355eb03b8d91/sensors-18-00086-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/8026eeda3151/sensors-18-00086-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/52399d02897b/sensors-18-00086-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/110845a224f6/sensors-18-00086-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/5ba30f504d75/sensors-18-00086-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/34ce40b968ce/sensors-18-00086-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/f1c7e3fb251a/sensors-18-00086-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/90f736a5342e/sensors-18-00086-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/7ff751112689/sensors-18-00086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/1087e9fa957f/sensors-18-00086-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/ad1b1b9cacdf/sensors-18-00086-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/ddc9e8daba39/sensors-18-00086-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/e97eb73e201f/sensors-18-00086-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/be7c75bbb307/sensors-18-00086-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/ad53ad38eed8/sensors-18-00086-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/dcae3d66cdc1/sensors-18-00086-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/470e03a23662/sensors-18-00086-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/a44886d51ce8/sensors-18-00086-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/dcd9631c328b/sensors-18-00086-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/355eb03b8d91/sensors-18-00086-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/8026eeda3151/sensors-18-00086-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/52399d02897b/sensors-18-00086-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/110845a224f6/sensors-18-00086-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/5ba30f504d75/sensors-18-00086-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/34ce40b968ce/sensors-18-00086-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/f1c7e3fb251a/sensors-18-00086-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/323e/5795938/90f736a5342e/sensors-18-00086-g019.jpg

相似文献

1
A Tuned-RF Duty-Cycled Wake-Up Receiver with -90 dBm Sensitivity.一款灵敏度为 -90 dBm 的调谐射频占空比唤醒接收器。
Sensors (Basel). 2017 Dec 29;18(1):86. doi: 10.3390/s18010086.
2
An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers.一种基于低频模式匹配器优化的改进型唤醒接收器。
Sensors (Basel). 2023 Sep 30;23(19):8188. doi: 10.3390/s23198188.
3
An Adaptive Wake-Up-Interval to Enhance Receiver-Based Ps-Mac Protocol for Wireless Sensor Networks.一种用于增强无线传感器网络中基于接收器的Ps-Mac协议的自适应唤醒间隔。
Sensors (Basel). 2019 Aug 29;19(17):3732. doi: 10.3390/s19173732.
4
Analytical and Experimental Performance Analysis of Enhanced Wake-Up Receivers Based on Low-Power Base-Band Amplifiers.基于低功耗基带放大器的增强型唤醒接收器的分析与实验性能分析
Sensors (Basel). 2022 Mar 10;22(6):2169. doi: 10.3390/s22062169.
5
A very low power MAC (VLPM) protocol for Wireless Body Area Networks.用于无线体域网的极低功耗 MAC(VLPM)协议。
Sensors (Basel). 2011;11(4):3717-37. doi: 10.3390/s110403717. Epub 2011 Mar 25.
6
An On-Demand Emergency Packet Transmission Scheme for Wireless Body Area Networks.一种用于无线体域网的按需紧急数据包传输方案。
Sensors (Basel). 2015 Dec 4;15(12):30584-616. doi: 10.3390/s151229819.
7
Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks.利用能量收集和唤醒接收器实现长期无线传感器网络。
Sensors (Basel). 2018 May 15;18(5):1578. doi: 10.3390/s18051578.
8
A Survey on the Evolution of Opportunistic Routing with Asynchronous Duty-Cycled MAC in Wireless Sensor Networks.无线传感器网络中基于异步占空比MAC的机会路由演进研究
Sensors (Basel). 2020 Jul 23;20(15):4112. doi: 10.3390/s20154112.
9
Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers.基于 OMNeT++ 中接收信号强度指示的分组错误率分布建模用于唤醒接收器。
Sensors (Basel). 2023 Feb 21;23(5):2394. doi: 10.3390/s23052394.
10
A Highly Reliable, 5.8 GHz DSRC Wake-Up Receiver with an Intelligent Digital Controller for an ETC System.一种用于ETC系统的、带有智能数字控制器的高可靠性5.8 GHz DSRC唤醒接收器。
Sensors (Basel). 2020 Jul 19;20(14):4012. doi: 10.3390/s20144012.

引用本文的文献

1
Analytical and Experimental Performance Analysis of Enhanced Wake-Up Receivers Based on Low-Power Base-Band Amplifiers.基于低功耗基带放大器的增强型唤醒接收器的分析与实验性能分析
Sensors (Basel). 2022 Mar 10;22(6):2169. doi: 10.3390/s22062169.
2
Area-Efficient Integrated Current-Reuse Feedback Amplifier for Wake-Up Receivers in Wireless Sensor Network Applications.用于无线传感器网络应用中唤醒接收器的面积高效集成电流复用反馈放大器。
Sensors (Basel). 2022 Feb 21;22(4):1662. doi: 10.3390/s22041662.
3
Low-Power Wireless Sensor Network Using Fine-Grain Control of Sensor Module Power Mode.
基于传感器模块功率模式细粒度控制的低功耗无线传感器网络。
Sensors (Basel). 2021 May 4;21(9):3198. doi: 10.3390/s21093198.
4
Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review.用于自主无线传感器节点的能量感知系统设计:全面综述
Sensors (Basel). 2021 Jan 14;21(2):548. doi: 10.3390/s21020548.
5
Low-Power RFED Wake-Up Receiver Design for Low-Cost Wireless Sensor Network Applications.低成本无线传感器网络应用中的低功耗射频唤醒接收器设计。
Sensors (Basel). 2020 Nov 10;20(22):6406. doi: 10.3390/s20226406.