CAREER: Backscatter Propagation-based Multi-hop Networks for Battery-less Devices

职业:用于无电池设备的基于反向散射传播的多跳网络

基本信息

项目摘要

A backscatter communication enables development and implementation of battery-less sensors, miniaturized (MEMS) robots, or even nano devices. However, the current stat-of-the-art technology limits communication scenario to a direct transmission between active and passive devices, for example in radio frequency identification (RFID) system between a reader and a passive tag. In contrast, the goal of this project is to develop a novel multi-hop network that utilizes backscatter signal as communication for passive, battery-less devices. The objectives of this work include mathematical representation of such passive multi-hop networks and development of novel cross-layer communication protocols and control schemes with learning methodology for beam-forming. The expected contributions include an improved theoretical understanding of the multi-hop network of battery-less devices and a novel cross-layer optimization framework of network protocols that are feasible and practically viable. The end result of this effort would lead into a truly pervasive, backscatter-based networking paradigm.The proposal?s outcomes include extending the range and improved capabilities of RFID systems to support larger and more complex sensing applications while lowering cost and minimizing environmental impacts (batteries-less operation). Moreover, a set of outreach activities include engagement of women and students from under-represented minorities through Missouri S&T Student Diversity Programs' office and Project Lead the Way (K-12 outreach). In long term, the outcomes will support various applications of MEMS and nano devices through facilitating a communication and control of such devices, with a potential to transform the healthcare, manufacturing into something that now is considered a science fiction.
反向散射通信可以开发和实现无电池传感器、小型化(MEMS)机器人甚至纳米器件。然而,当前的现有技术将通信场景限制为有源和无源设备之间的直接传输,例如在读取器和无源标签之间的射频识别(RFID)系统中。相比之下,该项目的目标是开发一种新型的多跳网络,该网络利用反向散射信号作为无源无电池设备的通信。这项工作的目标包括数学表示的被动多跳网络和开发新的跨层通信协议和控制方案与学习方法的波束成形。预期的贡献包括改进的理论理解的多跳网络的无电池设备和一种新的跨层优化框架的网络协议是可行的,实际上是可行的。这一努力的最终结果将导致一个真正普遍的,基于后向散射的网络范式。的成果包括扩展RFID系统的范围和改进的功能,以支持更大和更复杂的传感应用,同时降低成本和最大限度地减少对环境的影响(无电池操作)。此外,还开展了一系列外联活动,包括通过密苏里州理工学院学生多样性方案办公室和“带路”项目(K-12外联),让代表性不足的少数群体的妇女和学生参与进来。 从长远来看,这些成果将通过促进这些设备的通信和控制来支持MEMS和纳米设备的各种应用,并有可能将医疗保健,制造业转变为现在被认为是科幻小说的东西。

项目成果

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Maciej Zawodniok其他文献

Maciej Zawodniok的其他文献

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{{ truncateString('Maciej Zawodniok', 18)}}的其他基金

I-Corps: Improving Performance in Passive RFID Networks
I-Corps:提高无源 RFID 网络的性能
  • 批准号:
    1623905
  • 财政年份:
    2016
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
Memristors for Low-Power, Passive RF Devices
用于低功耗无源射频设备的忆阻器
  • 批准号:
    1310425
  • 财政年份:
    2013
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
Colaborative: Design of Accelerated Prognostics and Health Management
协作:加速预测和健康管理的设计
  • 批准号:
    1127922
  • 财政年份:
    2011
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
A Systematic Methodology for Data Validation and Verification for Prognostics Applications
预测应用数据验证和验证的系统方法
  • 批准号:
    1032020
  • 财政年份:
    2010
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant

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合作研究:NSF-AoF:CNS 核心:小型:物联网安全无线供电反向散射通信
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CPS: Medium: Collaborative Research: Scalable Intelligent Backscatter-Based RF Sensor Network for Self-Diagnosis of Structures
CPS:中:协作研究:用于结构自诊断的可扩展智能反向散射射频传感器网络
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Backscatter ultrasound physics for image segmentation and biological tissue characterization
用于图像分割和生物组织表征的反向散射超声物理
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职业:使用商品反向散射统一毫米波网络和传感
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