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

该项目正在调查涉及嵌入式传感技术的新型应用程序在从科学、工程、国防和工业环境转移到更广泛的个人、社会和城市环境时对网络架构的影响。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类型的社交交流，并提供对我们社区的新的、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，单个系统广泛分布、断断续续地连接和私人管理；与传统的互联网应用不同，物理输入对行为至关重要。该项目正在制定原则和抽象，这些原则和抽象对于未来的互联网整合此类应用、确定网络交换矩阵架构选项以及开发实现这些应用的关键组件和服务至关重要。这些服务包括用于环境验证和解析控制的网络服务，以实现隐私感知和可验证的侦听，以及用于感测数据的命名、传播和聚合的应用服务。此外，该项目正在开发个人、社交和城市嵌入式网络传感应用程序的具体实例，以作为更广泛的研究人员社区设计新互联网核心的设计推动力，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体系结构、网络模型和数据处理技术的基本理解，这些都是支持公民在多个尺度上积极参与公共领域物理传感器数据的收集、共享和解释所需的。

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.