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.

这是一项计划赠款，重点关注传感器网络的嵌入式中间件开发工具，该工具基于该团队在普渡大学（Purdue University）最近开发的研究原型。对于此计划赠款，项目团队建议通过购买较大的传感器网络测试库来扩展其现有传感器能力，以验证运行时间错误监控和诊断的较大的传感器网络测试。此外，该项目将为室内循环系统的二氧化碳监测提供申请案例研究。传感器节点通常在恶劣条件下部署时高度容易受到硬件分解的影响。由于其临时性和动态性质，网络嵌入式系统的通信协议往往很复杂且经常容易出错。此外，这些网络经验：暴露于潜在对手的组件和通信链接，因此受到安全威胁，例如节点捕获，拒绝服务和恶意代码注入；限制资源，例如存储，带宽，计算能力和能源；而且，即使可以正确设计它们，由于编程错误，网络协议可能会错误地实现。该项目的目的是允许广泛的网络嵌入式系统（NES）的广泛研究社区使用该项目提出的强大编程工具以进行运行时错误监控和诊断。该工具将针对一个问题，即传感器网络的许多组件中的任何一个可能发生错误，并且需要快速有效地检测到这些错误。