CAREER: Adaptive Power Management for Supercapacitor-Operated Sustainable Wireless Sensor Networks

职业：超级电容器供电的可持续无线传感器网络的自适应电源管理

基本信息

批准号：
1253390
负责人：
Ying Zhang
金额：
$ 44.47万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2013
资助国家：
美国
起止时间：
2013-05-01 至 2019-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1253390&HistoricalAwards=false
关键词：
CAREER Adaptive Power Management Supercapacitor

项目摘要

Long-life, maintenance-free, self-powered wireless sensor networks (WSNs) could potentially benefit many applications using WSNs with nodes that do not have access to continuous, conditioned power. However, the lifetime of self-powered WSNs has been severely limited by the cycle life and a short life span of rechargeable batteries (RBs), the current popular storage device for energy harvesting wireless sensors. Alternatively, supercapacitors (SCs) have cycle lives on the order of millions and a life span of 20 years or more. Recent advances in SC technology may lead to a paradigm shift from a battery-based to a SC-based design if the adaptive power management can be established to maintain the sustainability of the WSNs, which will generate great interest from many long-life applications.This research project aims to establish the theoretical foundation and applied framework of adaptive power management for supercapacitor-powered wireless sensors, which enables the next generation of perpetual, sustainable operation of environmentally-powered WSNs. This project consists of three main research components: (1) investigate how supercapacitor device characteristics affect power management policies and provide guidelines for SC-powered embedded systems; (2) create practical and accurate SC models for supporting power management research in energy harvesting WSNs; (3) design the SC-aware power management framework that enables sustainable operation of WSNs and evaluate it in laboratory testing and practical SC-based energy harvesting WSNs. This project will significantly advance the understanding of the next-generation SC-based energy harvesting WSNs, and lead to WSNs that can exist for decades on weak ambient energy and provide services required by important applications. In addition, the SC model and power management framework can also have impact on other portable embedded electronics. The educational components of this project include (1) providing research opportunities for graduate and undergraduate students, especially women and members of underrepresented groups; (2) integrating knowledge of state-of-the-art research and recent technological advances into the developed new curricula to provide multidisciplinary training, and inspire interdisciplinary research ideas; (3) developing educational activities in helping K-12 students from underrepresented groups and K-12 teachers from schools with high minority student population and low socioeconomic status.

长寿命、免维护、自供电的无线传感器网络 (WSN) 可能有利于许多使用 WSN 且节点无法获得连续调节电源的应用。然而，自供电无线传感器网络的寿命受到可充电电池（RB）的循环寿命和短寿命的严重限制，而可充电电池（RB）是当前流行的能量收集无线传感器存储设备。另外，超级电容器 (SC) 的循环寿命约为数百万次，使用寿命为 20 年或更长。如果能够建立自适应电源管理来维持 WSN 的可持续性，SC 技术的最新进展可能会导致从基于电池的设计到基于 SC 的设计的范式转变，这将引起许多长寿命应用的极大兴趣。该研究项目旨在为超级电容器供电的无线传感器建立自适应电源管理的理论基础和应用框架，从而实现下一代环境供电无线传感器网络的永久、可持续运行。该项目由三个主要研究部分组成：（1）研究超级电容器器件特性如何影响电源管理策略，并为 SC 供电的嵌入式系统提供指导； (2) 创建实用且准确的 SC 模型，以支持能量收集 WSN 中的电源管理研究； (3) 设计支持无线传感器网络可持续运行的SC感知电源管理框架，并在实验室测试和基于SC的实际能量收集无线传感器网络中对其进行评估。该项目将显着增进对下一代基于 SC 的能量收集无线传感器网络的理解，并使无线传感器网络能够在微弱的环境能量下存在数十年，并提供重要应用所需的服务。此外，SC模型和电源管理框架也会对其他便携式嵌入式电子产品产生影响。该项目的教育组成部分包括（1）为研究生和本科生，特别是女性和代表性不足群体的成员提供研究机会；（2）将最新研究知识和最新技术进步融入开发的新课程中，提供多学科培训，激发跨学科研究思路； (3) 开展教育活动，帮助来自代表性不足群体的 K-12 学生和来自少数族裔学生人数较多、社会经济地位较低的学校的 K-12 教师。