CPS: Breakthrough: Charge-Recycling based Computing Paradigm for Wirelessly Powered Internet-of-Things

CPS：突破：基于电荷回收的无线供电物联网计算范式

• 批准号: 1646318
• 负责人: Emre Salman
• 金额: $ 42.5万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1646318&HistoricalAwards=false
• 关键词: CPS; Breakthrough; Charge; Recycling; based

The primary objective of this research is to develop a new computing paradigm for wirelessly powered Internet-of-things (IoT) based devices and enhance their computational capabilities by more than an order of magnitude. The proposed research brings new opportunities to emerging applications such as computational RFIDs (Radio Frequency Identifiers), bio-implantable devices, and structural/environmental monitoring. The results of this research will contribute to the development of smarter IoT devices that are beyond the boundaries of traditional cyber-physical systems. Thus, significant new opportunities are expected in healthcare, energy, structural and environmental monitoring with substantial benefits to science, industry, and society at large. The PIs will promote outreach activities with emphasis on high school students and underrepresented groups. Undergraduate involvement will be encouraged through not only traditional means, but also through involvement of the PIs in professional societies and REU opportunities. One of the significant barriers that slows down the global scalability of IoT devices is the energy cost. Despite a variety of already existing techniques for energy harvesting methods, the computing capability of most of the IoT devices is limited by the available power. This research embodies a novel vision on developing an efficient computing method and corresponding IoT hardware architecture tailored for wireless energy harvesting. Specifically, the existing charge-recycling theory is leveraged in a unique way and the harvested AC signal is used to directly power the IoT device. Remarkable benefits are expected from this approach, e.g., i) the power loss due to rectification and regulation are eliminated, ii) the computational unit within the IoT device operates an order of magnitude more efficiently since the electrical charge is recycled rather than dissipated to ground. This unprecedented increase in energy efficiency enhances the on-site IoT device intelligence, thereby allowing for local decision making mechanisms.

这项研究的主要目标是为基于无线供电的物联网 (IoT) 设备开发一种新的计算范式，并将其计算能力提高一个数量级以上。拟议的研究为计算 RFID（射频识别器）、生物植入设备和结构/环境监测等新兴应用带来了新的机遇。这项研究的结果将有助于开发超越传统网络物理系统边界的更智能的物联网设备。因此，医疗保健、能源、结构和环境监测领域预计将出现重大新机遇，为科学、工业和整个社会带来巨大利益。 PI 将促进重点针对高中生和代表性不足群体的外展活动。不仅通过传统方式，而且通过 PI 参与专业协会和 REU 机会来鼓励本科生参与。减缓物联网设备全球可扩展性的重大障碍之一是能源成本。尽管已有多种能量收集方法，但大多数物联网设备的计算能力受到可用功率的限制。这项研究体现了开发高效计算方法和专为无线能量收集定制的相应物联网硬件架构的新颖愿景。具体来说，以独特的方式利用现有的电荷回收理论，收集的交流信号用于直接为物联网设备供电。这种方法预计会带来显着的好处，例如，i）消除了整流和调节造成的功率损耗，ii）物联网设备内的计算单元的运行效率提高了一个数量级，因为电荷被回收而不是消散到地面。这种前所未有的能源效率提高增强了现场物联网设备的智能，从而允许本地决策机制。

项目成果

Charge Based Power Side-Channel Attack Methodology for an Adiabatic Cipher

• DOI: 10.3390/electronics10121438
• 发表时间: 2021-06
• 期刊: Electronics
• 影响因子: 2.9
• 作者: Krithika Dhananjay;E. Salman

Energy-Efficient Adiabatic Circuits Using Transistor-Level Monolithic 3D Integration

使用晶体管级单片 3D 集成的节能绝热电路

• DOI: 10.1109/socc49529.2020.9524748
• 发表时间: 2020
• 期刊: IEEE 33rd International System-on-Chip Conference (SOCC
• 作者: Miketic, Ivan;Salman, Emre
• 通讯作者: Salman, Emre

Energy Efficient AC Computing Methodology for Wirelessly Powered IoT Devices

适用于无线供电物联网设备的节能交流计算方法

• 发表时间: 2017
• 期刊: Proceedings - IEEE International Symposium on Circuits and Systems
• 作者: Wan, Tutu;Karimi, Yasha;Stanacevic, Milutin;Salman, Emre
• 通讯作者: Salman, Emre

EQUAL: Efficient QUasi Adiabatic Logic for Enhanced Side-Channel Resistance

• DOI: 10.1109/isvlsi51109.2021.00067
• 发表时间: 2021-07
• 期刊: 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
• 作者: Krithika Dhananjay;E. Salman

Perspective Paper—Can AC Computing Be an Alternative for Wirelessly Powered IoT Devices?

• DOI: 10.1109/les.2017.2653058
• 发表时间: 2017-03
• 期刊: IEEE Embedded Systems Letters
• 影响因子: 1.6
• 作者: Tutu Wan;Yasha Karimi;M. Stanaćević;E. Salman