CISE RR: Infrastructure to Support Heterogeneous and Dynamic Sensor Networking Research

CISE RR：支持异构和动态传感器网络研究的基础设施

• 批准号: 0423728
• 负责人: Nirupama Bulusu
• 金额: --
• 依托单位: Oregon Health & Science University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2005-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0423728&HistoricalAwards=false
• 关键词: CISE; RR; Infrastructure; Support; Heterogeneous

This project, addressing heterogeneous and dynamic sensor technologies, facilitates experimental research, demonstrating and distributing scalable middleware services that support hybrid sensor technologies, including traditional scalar sensors such as the Berkeley motes, as well as newer sensors such as the OGI panoptes video-based sensors. The work focuses on the following tasks: Adaptive Network Protocols, Global Power Management, and Programmable Architectures.Dynamically inferring and exploiting the heterogeneity of network components, the 1st task investigates mechanisms to support a range of sensor networking technologies by designing adaptive protocols for network resource management and data recovery. The 2nd investigates techniques to help designers understand global power management in heterogeneous sensor networking applications. The 3rd task investigates middleware to support the programmability of hybrid signaling within video-based sensor networks. To validate and demonstrate the approach, three sample applications will be built. Time-Elapsed Imaging for Coastal Monitoring (used to sense light), Security Monitoring (used to sense movement in a room), and Health-Care Monitoring (used to validate video and vice versa with scalars).The difference between a custom-built application and a middleware version for various parameters will be measured in each case, as well as how much energy can be saved by having hybrid sensors working cooperatively (rather than autonomously) to manage power. This project explores the fundamental challenges in enabling such applications. Addressing the diversity in sensors should be critical in addressing the sensor networking applications of the future. These systems comprise the integration and interaction of diverse classes of sensor nodes, motivating approaches that require greater synergy among nodes than those previously explored in the traditional sensor networks. Augmenting the infrastructure through separate funds with a variety of additional sensing devices, will enable the creation of an extensive and flexible testbed to study scalable middleware services that support hybrid technologies. Hybrid sensor technologies can enrich the potential of sensor applications.Broader Impact: The artifacts of this research will be useful to the broader community; the experiences with real applications can inform further research. Moreover, the experimental research will further enable scientists in the Environmental Science and Biomedical Engineering Departments. This work enhances the curriculum enabling students to partake in experimental sensor networks research for their course work.

这个项目，解决异构和动态传感器技术，促进实验研究，演示和分发可扩展的中间件服务，支持混合传感器技术，包括传统的标量传感器，如伯克利微尘，以及较新的传感器，如OGI panoptes基于视频的传感器。工作重点如下：自适应网络协议，全局电源管理，和可编程架构。动态推断和利用网络组件的异构性，第一个任务研究机制，以支持一系列的传感器网络技术，通过设计自适应协议的网络资源管理和数据恢复。第二个调查技术，以帮助设计人员了解异构传感器网络应用的全局电源管理。第三个任务是研究中间件，以支持基于视频的传感器网络中的混合信令的可编程性。为了验证和演示该方法，将构建三个示例应用程序。 用于海岸监测的时间推移成像（用于感应光线），安全监控（用于感知房间内的运动）和医疗保健监测（用于验证视频，反之亦然标量）。在每种情况下，将测量定制应用程序和中间件版本之间的各种参数差异，以及通过使混合传感器协同工作（而不是自主工作）来管理功率可以节省多少能量。该项目探讨了实现此类应用程序的基本挑战。解决传感器的多样性对于解决未来的传感器网络应用至关重要。这些系统包括不同类别的传感器节点的集成和交互，激励方法，需要更大的节点之间的协同作用比以前在传统的传感器网络中探索。通过单独的基金和各种额外的传感设备来增强基础设施，将能够创建一个广泛而灵活的测试平台，以研究支持混合技术的可扩展中间件服务。混合传感器技术可以丰富传感器应用的潜力。更广泛的影响：本研究的人工制品将对更广泛的社区有用;真实的应用的经验可以为进一步的研究提供信息。此外，实验研究将进一步使环境科学和生物医学工程系的科学家。这项工作增强了课程，使学生能够参与实验传感器网络的研究，为他们的课程工作。