CRII: CSR: Systems and Tooling Enabling Adaptive Intermittent Computing

微小的能量收集计算机利用太阳、无线电波、振动和其他来源来为它们所有的传感、计算和通信任务提供动力。通过留下电池，这些设备可以运行而无需维护，可能持续数十年，使物联网中的许多应用成为可能。由于可用电量波动，这些无电池设备可能随时断电，这给编程、调试和部署带来了挑战。这个项目的目标是开发系统和工具，使这些设备对电源故障具有弹性、可靠性、更容易编程，并能够在不可预测的环境和能源条件下运行。该项目的智力优势集中在提高间歇计算设备的适应性、可编程性、可靠性和适用性上。三个互补的研究方向是：1)开发基于识别独特能量模式的能量采集环境的严格分类，以辅助应用程序设计；2)原型用于预测能量采集环境或基于剩磁衰减的能量模式的变化；3)开发基于任务的编程语言，具有利用能量模式的内置适配语义和识别电路以及伴随的低开销运行时系统。该项目的工作开发用于间歇性计算机的自适应系统和工具，这将使即使是新手也能够构建可靠且长寿命的传感器设备。通过简化应用程序开发并提高可用性(和可靠性)，这些系统将对医疗保健(可穿戴和身体传感器网络)、国防、生态、园艺、基础设施、野生动物跟踪、太空探索以及许多其他长期、低成本、大规模传感必不可少的领域的应用产生积极影响。所有硬件、软件和收集的环境概况和能源轨迹将免费提供，以及文档和教程。这些项目文物将被存储在一个专门的储存库中，供科学家、教育工作者、业余爱好者和行业访问和使用。该储存库将在项目结束后至少维持三年。(https://gitlab.com/ka-moamoa/battery-free-sensing)This奖反映了国家科学基金会的法定使命，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。

Tiny energy harvesting computers tap into the sun, radio waves, vibration, and other sources to power all their sensing, computing, and communication tasks. By leaving batteries behind, these devices can function maintenance-free, potentially for decades, enabling numerous applications in the Internet-of-Things. These battery-free devices can lose power at any point because of fluctuations in energy availability, which makes programming, debugging, and deployment challenging. The goal of this project is to develop the systems and tools that make these devices resilient to power failures, dependable, easier to program, and able to function in unpredictable environmental and energy conditions.The intellectual merits of this project are focused on improving adaptivity, programmability, reliability, and applicability of intermittent computing devices. Three complementary research thrusts are pursued: 1) development of a rigorous classification of energy harvesting environments built on identifying unique energy modes, aiding in application design; 2) prototyping a novel recognition circuit for anticipating changes in the energy harvesting environment or energy mode based on remanence decay; 3) development of a task-based programming language with built-in adaptation semantics leveraging energy modes and the recognition circuitry with accompanying low overhead runtime system.The work in this project develops adaptive systems and tooling for intermittent computers that will enable even novices to build reliable and long-lived sensor devices. By making application development easier, and improving availability (and reliability), these systems will positively impact applications in healthcare (wearable and body sensor networks), defense, ecology, horticulture, infrastructure, wildlife tracking, space exploration, and many other areas where long-term, low cost, massive scale sensing is essential. All hardware, software, and collected environmental profiles and energy traces will be made freely available, along with documentation and tutorials. These project artifacts will be stored in a dedicated repository for scientists, educators, hobbyists, and industry to access and use. This repository will be maintained for at least three years after the duration of the project. (https://gitlab.com/ka-moamoa/battery-free-sensing)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.