CSR: Small: Energy-Shared Computing in Sustainable Sensor Networks

随着网络连接性的增加，嵌入式传感器设备生成的数据已经在许多协作应用中有效地共享，例如传感器数据收集、环境监测和可穿戴计算。数据共享是一个研究多年的课题，相关项目有数百个。相比之下，在多个嵌入式传感器设备之间共享能量的概念很少受到关注。到目前为止，能量主要是在单个嵌入式传感器设备中就地收集和消耗的。在这个项目中，我们试图为可持续传感器设备之间的能量共享奠定基础。本研究的结果将在设计和提高可持续传感器网络能源效率的理论基础和实践算法的发展方面取得重大进展。这项工作的更广泛影响应通过以下方式扩大：(i)改进课程发展和学生培训；（ii）增加少数民族、妇女和印第安人的研究参与；促进研究成果的国际传播；（iv）提高K-12学生和其他代表性不足的少数群体对技术的兴趣；（五）促进跨学科合作。

With increasing network connectivity available, data generated by embedded sensor devices have been effectively shared in many collaborative applications, such as sensor data collection, environmental monitoring, and wearable computing. Data sharing has been a research topic for many years, with hundreds of related projects. In contrast, the concept of energy sharing among multiple embedded sensor devices has captured very little attention. Until now, energy has been predominately harvested and consumed locally in a single embedded sensor device. In this project, we attempt to lay a foundation for energy sharing among sustainable sensor devices. The outcome of this research will constitute a significant advance in the development of theoretical foundations and practical algorithms for designing and improving energy efficiency of sustainable sensor networks. The broader impact of this work shall be amplified by (i) improving course development and student training; (ii) increasing research participation of minorities, women, and Native Americans; (iii) facilitating international dissemination of research findings; (iv) raising interest in technology among K-12 students and other under-represented minority groups; and (v) fostering interdisciplinary collaborations.