CRII: CIF: Fundamental Research on Energy Efficiency and Security of RF Energy Harvesting Wireless Networks
CRII:CIF:射频能量收集无线网络的能源效率和安全性基础研究
基本信息
- 批准号:1948512
- 负责人:
- 金额:$ 11.49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-01 至 2020-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
To meet the ever-growing energy need for powering numerous wireless devices in applications of smart city, precision agriculture, and public safety, energy harvesting is emerging as a promising alternative to traditional power grids and batteries. Through scavenging radio energy from the surrounding environment, the radio frequency (RF) energy harvesting device can run semi-perpetually without a battery replacement. The energy harvesting feature, however, raises unique vulnerabilities in RF energy harvesting wireless networks. The investigator identifies a radically new threat model, called malicious energy attack: the adversary energy source threatens the information security by intentionally charging specific nodes to manipulate routing paths in the network layer. This project explores the non-linearity in energy harvesting systems and investigates reinforcement learning-enabled energy attack and defense mechanisms. It aims to develop efficient and secure communications for RF energy harvesting wireless networks. The project is expected to support development of sustainable and secure wireless networks, thereby leading to a broad impact on industrial sectors relying on energy harvesting techniques. The material generated from this project will be integrated into multiple courses on computer security and wireless networks. This project is organized around two research topics. The first topic develops offline and online optimal data transmission strategies based on a new nonlinear recursive energy harvesting model that considers the energy clamp phenomenon caused by dynamic RF environment, the nonlinear charging of the battery, and the nonlinear harvesting circuits. The second topic proposes a reinforcement learning-enabled intelligent energy attack method, where the adversary energy source can intelligently charge and control the energy level of each infected node based on the partial information of the traffic distribution in the network. Meanwhile, two defense mechanisms are developed to protect RF energy harvesting wireless networks from malicious energy attacks. In performing the above tasks, this research will build an RF energy harvesting wireless network testbed to facilitate radical breakthroughs over the practical design of models, algorithms, and protocols in forked projects.This project is jointly funded by CISE CCF and the Established Program to Stimulate Competitive Research (EPSCoR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
为了满足智能城市、精准农业和公共安全应用中为众多无线设备供电的日益增长的能源需求,能量收集正在成为传统电网和电池的一种有前途的替代方案。通过从周围环境中清除无线电能量,射频(RF)能量收集装置可以半永久运行,而无需更换电池。然而,能量收集功能在射频能量收集无线网络中引发了独特的漏洞。研究人员发现了一种全新的威胁模型,称为恶意能量攻击:恶意能量源通过故意向特定节点收取费用来操纵网络层的路由路径,从而威胁到信息安全。本课题研究了能量采集系统中的非线性问题,并研究了基于强化学习的能量攻防机制。它的目标是为射频能量收集无线网络开发高效和安全的通信。该项目预计将支持可持续和安全的无线网络的发展,从而对依赖能源收集技术的工业部门产生广泛影响。从这个项目产生的材料将被整合到关于计算机安全和无线网络的多门课程中。本项目围绕两个研究课题展开。第一个主题基于一种新的非线性递归能量采集模型,该模型考虑了动态射频环境、电池的非线性充电和非线性采集电路引起的能量钳制现象,提出了离线和在线的最优数据传输策略。第二个主题提出了一种基于强化学习的智能能量攻击方法,对手能量源可以根据网络中流量分布的部分信息,智能地对每个受感染节点的能量水平进行充电和控制。同时,开发了两种防御机制来保护射频能量采集无线网络免受恶意能量攻击。在执行上述任务时,本研究将构建一个射频能量采集无线网络试验台,以促进在分叉项目中模型、算法和协议的实际设计上的根本突破。该项目由CISE CCF和既定的激励竞争研究计划(EPSCoR)联合资助。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Lina Pu其他文献
Optimization of the Coil to Focalize the Electrical Field Induced by Magnetic Stimulation in the Human Brain
优化线圈以聚焦人脑中磁刺激引起的电场
- DOI:
10.1007/978-3-540-79039-6_93 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Lina Pu;T. Yin;H. An;Song Li;Zhipeng Liu - 通讯作者:
Zhipeng Liu
Real System Features and Implications in Underwater Acoustic Networks
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Lina Pu - 通讯作者:
Lina Pu
Practical Issues of RF Energy Harvest and Data Transmission in Renewable Radio Energy Powered IoT
可再生无线电能源供电物联网中射频能量采集和数据传输的实际问题
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:3.9
- 作者:
Yu Luo;Lina Pu - 通讯作者:
Lina Pu
DTER: Optimal Two-Step Dual Tunnel Energy Requesting for RF-Based Energy Harvesting System
DTER:基于射频能量收集系统的最佳两步双隧道能量请求
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:10.6
- 作者:
Yu Luo;Lina Pu;Yanxiao Zhao;Guodong Wang;Min Song - 通讯作者:
Min Song
Deep Learning-based Malicious Energy Attack Detection in Sustainable IoT Network
可持续物联网网络中基于深度学习的恶意能量攻击检测
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Xinyu Zhang;Long Li;Lina Pu;Jing Yang;Zichen Wang;Rong Fu;Zhipeng Jiang - 通讯作者:
Zhipeng Jiang
Lina Pu的其他文献
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{{ truncateString('Lina Pu', 18)}}的其他基金
CNS: CORE: Small: Collaborative Research: Towards Sustainable, Efficient, and Secure IoT
CNS:核心:小型:协作研究:迈向可持续、高效和安全的物联网
- 批准号:
2122159 - 财政年份:2021
- 资助金额:
$ 11.49万 - 项目类别:
Standard Grant
CRII: CIF: Fundamental Research on Energy Efficiency and Security of RF Energy Harvesting Wireless Networks
CRII:CIF:射频能量收集无线网络的能源效率和安全性基础研究
- 批准号:
2051356 - 财政年份:2020
- 资助金额:
$ 11.49万 - 项目类别:
Standard Grant
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