CAREER: Infrastructures for Sensor-based Data-centric Monitoring Applications

自主传感/驱动应用将使用传感器来观察周围的世界，处理收集到的数据以得出结论并做出决策，并使用执行器在这些决策的基础上影响世界，所有这些都可能不需要任何人类参与。这些应用极大地扩展了当今传感器网络的范围，这些网络主要用于简化人类离线分析的数据收集。该项目的目标是设计和构建一个以数据为中心的软件基础设施和相关的抽象、机制和协议，以显着简化健壮且高效的自治应用程序的结构和实现。该系统使开发人员能够使用一组灵活的高级计算原语轻松地指定特定于应用程序的数据采集、处理、传播和驱动逻辑。该系统将这些全局规范转换为单个网络节点可执行的代码和协议，然后使用一套新颖的算法，可靠、高效地自动分发和执行它们。系统可以采用通用的和特定于应用程序的优化技术来改进其操作，因为这些规范是合乎逻辑的，并不指示应该在何处以及如何执行。该提案的更广泛影响包括重大的研究生和本科课程发展，本科生参与研究的招聘，通过研究生课程将研究和教学相结合，将最先进的研究理念引入本科课程，公开传播教育材料和研究成果，以及开发促进学习，发现，创新的公共工具和基础设施。以及解决实际问题的方法。http://www.cs.brown.edu/~ugur/spawn_project.html

Autonomous sensing/actuation applications will use sensors to observe the world around them, process the data they gather to reach conclusions and make decisions, and use actuators to affect the world on the basis of those decisions, all potentially without any human involvement. These applications significantly extend the scope of today's sensor networks, which are used primarily to ease data collection for offline analysis by humans. The goal of this project is to design and build a data-centric software infrastructure and pertinent abstractions, mechanisms and protocols that significantly simplify the structuring and implementation of robust and efficient autonomous applications.The system enables developers to easily specify application-specific data acquisition, processing, dissemination, and actuation logic using a flexible set of high-level computational primitives. The system translates these global specifications to code and protocols executable by individual network nodes and then automatically distributes and executes them reliably and efficiently using a novel set of algorithms. The system can employ both generic and application-specific optimization techniques to improve its operation, as these specifications are logical and do not indicate where and how execution should take place.Broader impacts of the proposal include significant graduate and undergraduate course development, the recruitment of undergraduates into research, integration of research and teaching through graduate courses, introduction of state-of-the-art research ideas into undergraduate courses, public dissemination of educational materials and research results, and development of publicly-accessible tools and infrastructures that facilitate learning, discovery, innovation, and solutions to real problems.http://www.cs.brown.edu/~ugur/spawn_project.html