权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

CIF: Small: Ensuring robustness of communication between networked energy harvesting nodes

CIF：小：确保网络能量收集节点之间通信的稳健性

基本信息

批准号：
1618145
负责人：
Venkatachalam Anantharam
金额：
$ 50万
依托单位：
University of California-Berkeley
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：
2016-06-15 至 2022-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618145&HistoricalAwards=false
关键词：
CIF Small Ensuring robustness communication

项目摘要

Solar energy, ambient radio frequency energy, and mechanical vibrations, among others, provide opportunities for energy harvesting from the environment. Typically, it is feasible to store some of the harvested energy in a rechargeable local battery for future use. Energy harvesting devices are therefore expected to soon play a major role as components of networks monitoring critical infrastructure, such as transportation networks and the smart grid. This development is also synergistic with the growth of the Internet of Things, with the number of devices connected to the network being two orders of magnitude more than what we have today. The development of energy harvesting in the context of critical infrastructure technologies is of central importance to the national interest and its development in the context of the Internet of Things offers profound benefits to society. The educational component of this project includes training graduate students, exposing undergraduate students to research, and transitioning the results of the research to core graduate and undergraduate courses.The research in this project addresses the fundamental communications challenges posed by energy harvesting sensing networks in both the context of monitoring critical infrastructure and the Internet of Things. The research develops systematic techniques to design communication networks of sensing energy harvesting nodes that are robust to the variations in the energy harvesting process. The appropriate models to use depend on the relation between the time scale of the energy harvesting and the time scales inherent to the physical system being sensed, estimated, and controlled. This project studies both information theoretic and packet-drop models, corresponding respectively to fast or slow time scales for energy harvesting relative to the dynamics of the physical system.

太阳能、环境射频能量和机械振动等为从环境中收集能量提供了机会。通常，将收获的一些能量储存在可充电的本地电池中以备将来使用是可行的。因此，能量收集设备有望很快成为监控关键基础设施（如交通网络和智能电网）网络的重要组成部分。这一发展也与物联网的发展产生了协同作用，连接到网络的设备数量比我们今天的设备数量多两个数量级。在关键基础设施技术的背景下，能源收集的发展对国家利益至关重要，其在物联网背景下的发展为社会带来了深远的利益。该项目的教育部分包括培养研究生，让本科生接触研究，并将研究成果转化为研究生和本科生的核心课程。该项目的研究解决了在监测关键基础设施和物联网的背景下，能量收集传感网络所带来的基本通信挑战。该研究开发了系统的技术来设计感知能量收集节点的通信网络，该网络对能量收集过程中的变化具有鲁棒性。要使用的适当模型取决于能量收集的时间尺度与被感知、估计和控制的物理系统固有的时间尺度之间的关系。该项目研究了信息理论和分组丢弃模型，分别对应于相对于物理系统动力学的能量收集的快或慢时间尺度。