NeTS: Small: RUI: Bulldog Mote- Low Power Sensor Node and design Methodologies for Wireless Sensor Networks

NeTS：小型：RUI：Bulldog Mote - 无线传感器网络的低功耗传感器节点和设计方法

基本信息

批准号：
1816197
负责人：
Nan Wang
金额：
$ 42.46万
依托单位：
California State University-Fresno Foundation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2022-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1816197&HistoricalAwards=false
关键词：
NeTS Small RUI Bulldog Mote

项目摘要

Wireless Sensor Networks (WSNs) are composed of a significant number of nodes deployed in a widespread area in which not all nodes are directly connected. WSNs have been widely employed in numerous real world smart applications that greatly impact many areas of humanity, including health care monitoring, forest fire detection, air pollution monitoring, landslide detection, and structural health monitoring. However, limited battery life and inefficient power management of the sensor nodes continue to be major concerns in the further development of WSNs. This project aims to design a new low-power sensor node, the Bulldog Mote, using attractive low power techniques, such as energy harvesting, clock scheduling, and dynamic voltage scheduling, implemented through all WSN design layers. The WSN and all its subsystems containing the newly designed Bulldog Motes will be methodologically tested on forest fire detection and/or smart watering applications. The impact of this project will be further strengthened by: (1) embedding low-power design technologies in substantial systems from major industry parties, (2) enhancing curriculum development with improved courses and senior projects, (3) disseminating research results through online tutorial, peer referred publications, and open-source website, (4) reaching out to K-12 students and underrepresented minority groups through open houses and summer camps, and (5) supporting women and minority students in research. Finally, subsequent comprehensive low-power design model and procedures will be developed for designers to create and improve designs of other embedded devices under tight power constrains. The successful application of WSN heavily relies on efficiently designed communication protocols and energy aware node architecture. This project addresses the design and implementation of the following components: (1) efficient low-power methodologies implemented throughout all WSNs' design layers from the application to the physical layer, (2) a new WSN sensor node, the Bulldog Mote, created using various low power methodologies, and (3) energy harvesting technologies for sensor node architecture. A low power design model will be created to design such embedded devices and made available to educators, students and engineers working in related areas. Furthermore, this research will provide the knowledge necessary to design enhanced sensor nodes for WSNs in terms of power consumption and communication ability. The same low-power design techniques can be used for a variety of other power constrained applications, such as consumer electronics and medical devices.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.

无线传感器网络（WSN）由大量部署在广泛区域中的节点组成，其中并非所有节点都直接连接。 WSN已广泛用于许多现实世界中的智能应用中，这些应用极大地影响了人类的许多领域，包括医疗保健监测，森林火灾检测，空气污染监测，滑坡检测和结构性健康监测。但是，传感器节点的电池寿命有限和效率低下的电源管理仍然是WSN进一步开发的主要问题。该项目旨在使用吸引人的低功率技术设计一个新的低功率传感器节点，即牛头犬Mote，例如通过所有WSN设计层实现的能量收集，时钟调度和动态电压调度。 WSN及其所有包含新设计的斗牛犬Motes的子系统将在森林火灾检测和/或智能浇水应用中进行方法论测试。该项目的影响将通过：（1）嵌入主要行业各方的实质系统中的低功耗设计技术，（2）通过改进的课程和高级项目来增强课程开发，（3）通过在线教程，同行推荐出版物和开放式训练营和未成年人（4）通过在线教程，同行推荐的群体和未成年人（4）来传播研究结果，（4）支持妇女和少数民族的研究。最后，将开发随后的全面的低功率设计模型和程序，供设计人员在紧密的功率约束下创建和改善其他嵌入式设备的设计。 WSN的成功应用在很大程度上依赖于有效设计的通信协议和能源知识节点体系结构。该项目解决了以下组件的设计和实现：（1）从应用程序到物理层的所有WSN的设计层实施的有效的低功率方法，（2）一种新的WSN传感器节点，斗牛犬Mote，使用各种低功率方法创建的斗牛犬节点，以及（使用各种低功率方法论，以及（3）传感器Nodecor indecterectect。将创建一个低功率设计模型，以设计此类嵌入式设备，并提供给在相关领域工作的教育者，学生和工程师。此外，这项研究将提供必要的知识，以在功耗和沟通能力方面为WSN设计增强的传感器节点。相同的低功率设计技术可用于各种其他功率约束应用，例如消费电子和医疗设备。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响评估标准来通过评估来获得支持的。