Evaluating Low Power Techniques for Backscatter WiFi Nodes
Evaluating Low Power Techniques for Backscatter WiFi Nodes
批准号:
516458-2017
负责人:
Savaria, Yvon
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
无线传感器节点的功耗是限制这些传感器无电池运行的关键因素。小波ite通过利用无线通信中的反向散射概念解决了这个问题。使用传统WiFi设备,wavite使反向散射通信成为可能,其中载波从现有WiFi设备的WiFi信号中回收,使另一个传统WiFi设备接收到反向散射信号。小波技术旨在将传感器通信组件节点的实际功耗降低到数百微瓦到几毫瓦之间,从而实现微功率收集解决方案的使用。为了实现这一目标,必须探索WiFi后向散射系统的各种创新硬件实现。作为该项目的一部分,我们打算1)研究各种方法来降低现有低功率反向散射节点的功耗,2)探索适合反向散射技术的功率收集技术。基于仿真和分析,将探讨与低功耗现成组件,ASIC或数字系统重新配置有关的几种解决方案,以实现这些目标。此外,还将测试几种收集技术,并使其适应所需的低功耗环境。
英文摘要
Power consumption of wireless sensor nodes is a key limiting factor towards battery-free operation of thesesensors.Wavelite addressees this problem by leveraging back-scattering concepts in wireless communications.Wavelite makes backscatter communication possible using conventional WiFi devices in which the carrierwave is recycled from WiFi signals of an existing WiFi device such that another conventional WiFi devicereceives the backscattered signal. Wavelite technology intends to reduce the practical power consumption ofthe sensor's communication component node in a range between hundreds of micro-Watts to a few milli-Wattsto enable the use of micro power harvesting solutions. To achieve this goal, various innovative hardwareimplementations of WiFi backscattering systems must be explored. As part of this project, we intend to 1)investigate various methodologies to reduce the power consumption of existing low power backscatteringnodes, and 2) explore power harvesting techniques that are suitable for the backscatter technology. Based onsimulations and analysis, several solutions pertaining to low-power off-the-shelf components, ASIC orre-configuration of the digital system to achieve these goals will be explored. In addition, several harvestingtechniques will be tested and adapted to the required low-power context.
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项目类别:Discovery Grants Program - Individual
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依托单位:
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依托单位:
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依托单位:
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.06万
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负责人:Savaria, Yvon
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资助金额:$1.82万
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依托单位:
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