MRI-R2: Development of a Second-Generation Applications-Driven Wireless Sensor Networking Instrument

MRI-R2：第二代应用驱动的无线传感器网络仪器的开发

• 批准号: 0959584
• 负责人: Guevara Noubir
• 金额: $ 49.94万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-15 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0959584&HistoricalAwards=false
• 关键词: MRI; R2; Development; Second; Generation

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)." Proposal #: 09-59584PI(s): Noubir, Guevara Basagni, Stefano; Desnoyers, Peter; Vona, Marsette A.Institution: Northeastern University Title: MRI-R2/Dev.: Second-Generation Applications-Driven Wireless Sensor Networking InstrumentProject Proposed:This project, developing a multi-purpose wireless sensor networking instrument, supports the specific experimental research needs of cross-layer protocols for heterogeneous sensor networks and key applications such as search and rescue by swarms of robots, buildings structure health monitoring, and hand and patient motion tracking. The instrument enables- Research and education for developing and experimenting with protocols and algorithms for a future generation of wireless sensor networks,- Cross-cutting research and education in application areas of key interest to the society and the institution.This work enhances the support of existing mechanisms of today's wireless sensor networks such as security, energy efficiency, and reliability by using a more capable second systems on chips at an order of magnitude lower cost and within a significantly smaller package than today's solution. Additionally, inexistent capabilities that enable research are designed and integrated in the target multi-disciplinary application areas; these include:- Directional antennas for localization, and interference-cancellation, using a combination of low-cost mechanical and electronic beam-forming techniques (outperforming purely electronic smart antennas). This improves communication capacity and robustness against unintentional and malicious interference. It will be fitted on mobile robots and combined with ultra-sound transceivers for faster localization of transmission sources in search and rescue missions.- Ultralow-power with multi-radio support including wakeup-radios, enabling asymmetric communication architectures, and allowing deployed sensor nodes to last for over a decade without battery changes.- Nodes hardware, software, and network design architected for ease of composability to quickly integrate specific hardware components of new applications such as wideband reduces personnel in the development microelectronic mechanical systems (MEMS) ultrasound transceivers, MEMS accelerometers, flash storage, and also interfaces with a variety of robots and off-the-shelf components (e.g., miniSD GPS).Broader Impacts: This project fosters a wider use of wireless sensor networks in application areas of national importance, namely, emergency preparedness and health science. All the instrument components are open-sourced including the schematics, printed circuit board (PCB) layouts, and software with adequate documentation, thus enabling other institutions to easily extend and build copies of the instrument at low cost. The work fosters the development of the next generation application-driven wireless sensor networks widening the use of such networks both in research and education. Several education kits and evaluation systems will be made available to other academic groups. Dissemination workshops will also be organized for application and module developers. The instrument will be used in several multi-disciplinary courses bridging CS, EE, ME, and CE.

“该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。“提案编号：09- 59584 PI（s）：Nabuir，Guevara Basagni，Stefano; Desnoyers，Peter; Vona，Marsette A.机构：东北大学标题： MRI-R2/开发： 第二代应用驱动的无线传感器网络仪器项目建议：该项目旨在开发一种多用途的无线传感器网络仪器，支持异构传感器网络跨层协议的特定实验研究需求和关键应用，如成群机器人的搜索和救援，建筑物结构健康监测，手部和患者运动跟踪。该仪器能够-为开发和试验下一代无线传感器网络的协议和算法进行研究和教育，-在社会和机构感兴趣的应用领域进行跨领域的研究和教育。这项工作增强了对当今无线传感器网络现有机制的支持，例如安全性，能源效率，和可靠性，这是通过以比目前的解决方案低一个数量级的成本并且在显著更小的封装内使用更有能力的第二片上系统实现的。此外，不存在的能力，使研究的目标多学科应用领域的设计和集成，其中包括：-定向天线的定位和干扰消除，使用低成本的机械和电子波束形成技术的组合（优于纯电子智能天线）。这提高了通信能力和抵抗无意和恶意干扰的鲁棒性。它将安装在移动的机器人上，并与超声波收发器相结合，以便在搜索和救援任务中更快地定位传输源。超低功耗，具有多无线电支持，包括唤醒无线电，实现非对称通信架构，并允许部署的传感器节点持续十多年而无需更换电池。节点硬件、软件和网络设计的架构便于组合，以快速集成新应用（例如宽带）的特定硬件组件，从而减少了开发微电子机械系统（MEMS）超声收发器、MEMS加速度计、闪存的人员，并且还与各种机器人和现成组件（例如，miniSD GPS）。更广泛的影响：该项目促进在国家重要的应用领域，即应急准备和保健科学中更广泛地使用无线传感器网络。 所有仪器组件都是开源的，包括原理图、印刷电路板（PCB）布局和软件，并提供足够的文档，从而使其他机构能够以低成本轻松扩展和构建仪器的副本。这项工作促进了下一代应用驱动的无线传感器网络的发展，扩大了这种网络在研究和教育中的应用。将向其他学术团体提供若干教育工具包和评价系统。还将为应用程序和模块开发人员举办传播讲习班。该仪器将用于几个多学科课程桥接CS，EE，ME和CE。