NeTS-FIND: Collaborative Research: Network Fabric for Personal, Social, and Urban Sensing Applications

该项目正在研究涉及嵌入式传感技术的新型应用对网络架构的影响，因为它从科学、工程、国防和工业环境转移到更广泛的个人、社会和城市环境。这些应用程序利用关于人、物体和物理空间的感知信息来实现新型的社会交流，并为我们的社区提供新的和意想不到的观点。它们需要新的算法和软件机制，因为与分布式传感的科学应用不同，单个系统是广泛分布的，间歇性连接的，并且是私人管理的；与传统的互联网应用程序不同，物理输入对行为至关重要。该项目正在开发原则和抽象，这些原则和抽象对于未来的互联网整合这些应用程序、识别网络结构体系结构选项以及开发实现这些应用程序的关键组件和服务至关重要。这些服务包括用于上下文验证和解析控制的网络服务，以支持隐私感知和可验证感知，以及用于命名、传播和聚合感知数据的应用程序服务。此外，该项目正在开发个人、社会和城市嵌入式网络传感应用的具体实例，作为设计驱动程序，为更广泛的研究人员构建新的互联网核心，以及协助应用程序创作的工具。更广泛的影响：最终，这项研究将产生对软件架构、网络模型和数据处理技术的基本理解，这些技术是支持公民积极参与收集、共享和解释公共领域多尺度物理传感器数据所需要的。

This project is investigating the impact on the network architecture of a new class of applications involving embedded sensing technology as it moves from scientific, engineering, defense, and industrial contexts to the wider personal, social and urban contexts. These applications draw on sensed information about people, objects, and physical spaces to enable new kinds of social exchange and offer new and unexpected views of our communities. They require new algorithms and software mechanisms because unlike scientific applications of distributed sensing, a single system is widely distributed, intermittently connected, and privately administered; and unlike traditional Internet applications the physical inputs are critical to the behavior. The project is developing principles and abstractions that are vital for the future Internet to incorporate such applications, to identify the network fabric architecture options, and to develop the key components and services to realize them. These include network services for context verification and resolution control to enable privacy-aware and verifiable sensing, and application services for naming, dissemination, and aggregation of sensed data. In addition, the project is developing concrete instances of personal, social and urban embedded networked sensing applications to act as design drivers for the broader community of researchers architecting the new Internet core, as well tools to assist in application authoring. Broader Impact: Ultimately, this research will yield fundamental understanding of software architectures, networking models and data processing techniques that are needed to support a citizenry actively participating in collection, sharing, and interpretation of physical sensor data in the public sphere at multiple scales.