SBIR Phase II: Scalable Location Data Management

SBIR 第二阶段：可扩展位置数据管理

• 批准号: 0822777
• 负责人: Karthikeyan Ramasamy
• 金额: $ 50万
• 依托单位: Locomatix, LLC
• 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: 2008-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0822777&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Scalable; Location

This Small Business Innovation Research Phase II project aims to design, implement, and test scalable methods for providing location-based services, with a special emphasis on mobile cell phone applications. Examples of such applications include continuous monitoring of static and dynamic geo-fences, building dynamic mobile social networks, and mobile e-commerce. The Phase II effort will develop methods to push the efficiency of the location-based computation techniques, and develop methods for more sophisticated features such as privacy management and mobile power management, which will be crucial for the wider adoption of location-based applications. Location data is currently generated by continually moving physical objects equipped with location-based sensors, such as GPS and Wi-Fi based tags. Data management methods for these datasets require dealing with high update rates, large volumes of historical location data, and location-based triggers that raise an alert when the location of a moving object meets certain criteria (for example, if an object is beyond a well-defined boundary). Existing methods for supporting applications that have these requirements are not scalable. The broader merits of this project include the development of a technology that has a potentially large commercial value and addresses an emerging market need. For example, for the cell phone market, these location-based services are projected to grow from $464M in 2007 to over $11B by 2011. If successful, the potential impact in both consumer and enterprise markets for location-based services could be substantial.

这个小型企业创新研究第二阶段项目旨在设计，实施和测试可扩展的方法，提供基于位置的服务，特别强调移动的手机应用程序。这种应用的示例包括静态和动态地理围栏的连续监视、构建动态移动的社交网络和移动的电子商务。第二阶段的工作将开发方法，以提高基于位置的计算技术的效率，并开发更复杂的功能，如隐私管理和移动的电源管理，这将是更广泛地采用基于位置的应用程序的关键。当前，位置数据是通过不断移动配备有基于位置的传感器（诸如基于GPS和Wi-Fi的标签）的物理对象来生成的。这些数据集的数据管理方法需要处理高更新率、大量历史位置数据以及基于位置的触发器，这些触发器在移动对象的位置满足某些标准时（例如，如果对象超出明确定义的边界）发出警报。用于支持具有这些要求的应用的现有方法是不可扩展的。 该项目更广泛的优点包括开发一种具有潜在巨大商业价值并满足新兴市场需求的技术。例如，对于手机市场，这些基于位置的服务预计将从2007年的4.64亿美元增长到2011年的110亿美元。 如果成功，基于位置的服务在消费者和企业市场的潜在影响可能是巨大的。