CNS: CORE: Small: Collaborative Research: Towards Sustainable, Efficient and Secure IoT

为了满足物联网(IoT)设备日益增长的能源供应需求，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。该项目的目标是为可再生能源供电的物联网设备开发节能和安全的无线通信系统和协议。特别是，该项目将开发网络同步、高效数据传输和安全的新技术，并将解决因实际问题而产生的挑战，如有限的电力供应和可再生能源系统的其他独特功能。该项目将提供一个丰富的环境和平台，促进从高中到研究生的教育和培训。该项目的目标是为可再生能源供电的物联网设备开发节能和安全的无线通信系统和协议。该项目围绕三个研究项目展开。作为第一个推力的一部分，PI将开发一种基于唤醒无线电的时间同步方法，该方法可以实现高同步精度和超低能源成本。在第二个推力中，PI将开发一种新的考虑无线系统实际方面的非线性递归能量收集模型。在第三个推力中，PI将分析恶意能源攻击造成的新的安全威胁，并将开发基于强化学习的新型智能攻防机制。该项目将开发一种多学科方法，将网络、能源收集和安全方面的多个领域结合在一起。该项目将提供一个丰富的环境和平台，促进从高中到研究生的教育和培训。该项目由计算机和网络系统计划和既定的激励竞争研究计划(EPSCoR)共同资助。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。

To meet the ever-growing need of energy supply for the Internet of Things (IoT) devices, energy harvesting is emerging as a promising alternative to traditional power grids and batteries. The goal of this project is to develop energy-efficient and secure wireless communication systems and protocols for renewable energy-powered IoT devices. In particular, this project will develop novel techniques for network synchronization, efficient data transmission, and security and will tackle the challenges arising from practical issues such as limited power supply and other unique features of renewable energy-powered systems. The project will provide a rich environment and platform that will facilitate educating and training students from high school level to graduate level. The goal of this project is to develop energy-efficient and secure wireless communication systems and protocols for renewable energy-powered IoT devices. This project is organized around three research thrusts. As part of the first thrust, the PIs will develop a wake-up radio-based time synchronization method, which can achieve high synchronization precision and ultra-low energy cost. In the second thrust, the PI will develop a new nonlinear recursive energy harvesting model that considers practical aspects of wireless systems. In the third thrust, the PIs will analyze new security threats caused by malicious energy attacks and will develop novel reinforcement learning-based intelligent attack and defense mechanisms. This project will develop a multi-disciplinary approach that brings together multiple fields in networking, energy harvesting, and security. The project will provide a rich environment and platform that will facilitate educating and training students from high school level to graduate level. This project is jointly funded by the Computer and Networking System Program 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.