NeTS: Small: Algorithms and System Support for Monitoring of Amorphous Phenomena with Dynamic Signatures in Wireless Sensor Networks

NeTS：小型：用于监测无线传感器网络中具有动态特征的非晶现象的算法和系统支持

• 批准号: 0915574
• 负责人: Qi Han
• 金额: $ 30万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915574&HistoricalAwards=false
• 关键词: NeTS; Small; Algorithms; System; Support

Emerging applications using wireless sensor networks for critical areas such as environmental monitoring and emergency response highlight the urgent need for more powerful algorithms for tracking amorphous events or phenomena with dynamic identities. Several such events may combine into a large whole or one event may disintegrate into several smaller ones. Current efforts in event detection and tracking have mostly assumed that either events remain distinct, never crossing or passing too close together to become indistinguishable, or if they do cross that they were identified prior and nothing new has formed. This project addresses the research challenges in designing and implementing a system that is capable of tracking events with or without well-defined shapes and identities in the presence of stringent energy constraints and unpredictable network failures posed by wireless sensor networks. Specific research objectives include: design and evaluation of algorithms that detect and track any types of events including amorphous phenomena with dynamic signatures and events that possess a static shape with a crisp boundary; design and evaluation of algorithms that form and reform communication structures around events of interest; and development of an integrated system that provides interfaces to high level application tasks to execute on each identified event. Successful completion of this project will result in a rich set of tools that can be used by applications monitoring all different types of events. The tools will be made publicly available via the Internet. This project provides opportunities for recruitment of female students and undergraduate students.

新兴的应用使用无线传感器网络的关键领域，如环境监测和应急响应突出了更强大的算法，用于跟踪无定形事件或现象的动态身份的迫切需要。几个这样的事件可以联合收割机组合成一个大的整体，或者一个事件可以分解成几个较小的事件。目前在事件检测和跟踪方面的努力大多假设事件保持不同，从不交叉或通过太近而变得无法区分，或者如果它们交叉，则它们先前被识别并且没有新的形成。该项目解决了在设计和实现一个系统，能够跟踪事件或没有明确定义的形状和身份的存在下，严格的能源约束和不可预测的无线传感器网络造成的网络故障的研究挑战。具体的研究目标包括：设计和评估的算法，检测和跟踪任何类型的事件，包括无定形现象与动态签名和事件，拥有一个静态的形状与清晰的边界;设计和评估的算法，形成和改革通信结构周围的感兴趣的事件;以及开发集成系统，该集成系统向高级应用任务提供接口以在每个识别的事件上执行。这个项目的成功完成将产生一组丰富的工具，可用于监控所有不同类型的事件的应用程序。这些工具将通过互联网向公众提供。该项目为招收女生和本科生提供了机会。