CRI: Planning - A Testbed for Compiler-supported Scalable Error Monitoring and Diagnosis for Reliable and Secure Sensor Networks

CRI：规划 - 编译器支持的可扩展错误监控和诊断的测试平台，用于可靠且安全的传感器网络

• 批准号: 0751101
• 负责人: Zhiyuan Li
• 金额: $ 4.89万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-03-15 至 2013-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0751101&HistoricalAwards=false
• 关键词: CRI; Planning; Testbed; Compiler; supported

This is a planning grant that focuses on an embedded middleware development tool for sensor networks that is based on a research prototype recently developed by this team at Purdue University.For this planning grant the project team proposes to expand their existing sensor capability by purchasing a larger sensor network test-bed to validate software development tools for run-time error monitoring and diagnosis. In addition, the project will enable an application case study for carbon dioxide monitoring for indoor circulation systems.Sensor nodes typically are highly vulnerable to hardware breakdowns when deployed in harsh conditions. Because of their ad hoc and dynamic nature, the communication protocols of networked embedded systems tend to be complex and frequently error-prone. In addition, these networks experience: components and communication links that are exposed to potential adversaries and hence are under security threats such as node capture, denial of service, and malicious code injection; constrained resources such as storage, bandwidth, computing power and energy; and, even though they may be correctly designed, network protocols may be implemented incorrectly due to programming errors.The goal of this project is to permit the broad research community of Networked Embedded Systems (NES) to use the robust programming tool proposed with this project for run-time error monitoring and diagnosis. The tool will target the problem that errors can occur in any of the many components of a sensor network and those errors need to be detected quickly and effectively.

这是一项规划拨款，重点关注传感器网络的嵌入式中间件开发工具，该工具基于普渡大学该团队最近开发的研究原型。对于这项规划拨款，项目团队建议通过购买更大的传感器网络测试台来扩展其现有的传感器功能，以验证用于运行时错误监控和诊断的软件开发工具。此外，该项目还将开展室内循环系统二氧化碳监测的应用案例研究。传感器节点在恶劣条件下部署时通常很容易出现硬件故障。由于其临时性和动态性，网络嵌入式系统的通信协议往往很复杂并且经常容易出错。此外，这些网络还会遇到： 组件和通信链路暴露给潜在对手，因此面临节点捕获、拒绝服务和恶意代码注入等安全威胁；存储、带宽、计算能力和能源等资源受限；而且，即使它们设计正确，网络协议也可能由于编程错误而无法正确实现。该项目的目标是允许网络嵌入式系统（NES）的广泛研究社区使用该项目提出的强大的编程工具来进行运行时错误监视和诊断。该工具将针对传感器网络的许多组件中的任何一个都可能发生错误并且需要快速有效地检测到这些错误的问题。