CAREER: Advanced Data Management for Sensor Networks

职业：传感器网络的高级数据管理

• 批准号: 0747108
• 负责人: Qun Li
• 金额: $ 45万
• 依托单位: College of William and Mary
• 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: 2008-02-01 至 2014-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0747108&HistoricalAwards=false
• 关键词: CAREER; Advanced; Data; Management; Sensor

Future sensor networks will be more versatile in data recording. The sensors will not only collect information in numerical form, they will also collect and store textual data. The data will be accumulated in large quantities over a long period of time, and, many times, the data have to be stored in the network. This project aims to build an advanced sensor network data management system that extracts information from this widely distributed, massively accumulated, mixed and somehow unstructured data in an efficient and secure fashion. The scope of this project goes beyond the prior research in sensor network data management by considering more sophisticated schemes of data storage, information retrieval, data mining, security and privacy support. It encompasses algorithm design, system design, real implementation and experiments to test the new ideas emerging in this future computing platform. Expected results include an information retrieval system for sensor networks, data mining algorithms for various problems (e.g., outlier detection), public key implementation and protocols for security and privacy support.This project has a high impact in enriching the sensor network applications by supporting physical world search and more advanced queries for small devices. The research conducted in this project is expected to not only empower the future sensor networks, but also, in a more general sense, contribute to the research for the pervasively deployed small devices around people. Results from this project will be disseminated via conferences, journals, and the Internet.

未来的传感器网络在数据记录方面将更加通用。传感器不仅收集数字形式的信息，还将收集和存储文本数据。这些数据将在很长一段时间内大量积累，而且很多时候，这些数据必须存储在网络中。该项目旨在建立一个先进的传感器网络数据管理系统，以高效和安全的方式从这些广泛分布，大量积累，混合和某种非结构化的数据中提取信息。该项目的范围超越了传感器网络数据管理的先前研究，考虑更复杂的数据存储，信息检索，数据挖掘，安全和隐私支持计划。它包括算法设计，系统设计，真实的实施和实验，以测试新的想法出现在这个未来的计算平台。预期的结果包括传感器网络的信息检索系统，各种问题的数据挖掘算法（例如，离群值检测）、公钥实现以及安全和隐私支持协议。该项目通过支持物理世界搜索和更高级的小型设备查询，在丰富传感器网络应用方面具有很高的影响力。在这个项目中进行的研究预计不仅可以增强未来的传感器网络，而且在更广泛的意义上，有助于对人们周围普遍部署的小型设备的研究。该项目的成果将通过会议、期刊和互联网传播。