Application-layer Internetworking for the Internet of Things

支持网络的传感器、执行器和其他网络物理系统(称为物联网(IoT))的爆炸性增长，以及在很大程度上绕过公共互联网的专有网络基础设施的激增，需要新的解决方案来互联大量不同类型的网络。该项目旨在开发一种基于自组织应用层网络的互连体系结构。自组织意味着设备使用其所有通信方式来检测并建立与其他设备的连接，以形成网络。应用层网络的所有节点都参与在信息源和目的地之间转发数据。应用层互联是指在不同的网络基础设施中，在应用程序级将具有附着点的设备互联。该项目的长期目标是探索应用层互连的基础，并开发新的协议解决方案，以支持和促进这种互连。该项目将解决将低功率物联网设备集成到新型互联网络架构中的挑战，并解决可扩展的路由、故障恢复能力和网络策略。拟议的研究计划寻求为物联网和传统设备的高度互联网络的未来做出贡献。该项目的另一个重点是利用网络微积分理论框架开发新的交通控制算法，但这是该项目不可分割的一部分。新的技术趋势，如5G网络中的超可靠低延迟通信(URLLC)服务，增加了对新的调度和整形算法的需求。我们寻求设计基于网络演算的合理数学原理的算法，并允许在已部署的系统中有效地实施。这样做，我们寻求为现代通信网络中的调度和整形算法开发理论基础。通过提供已开发的调度和成形方法的实施，该项目寻求缩小学术研究成果和可部署技术之间的差距。本项目的研究活动包括理论和实验研究，包括算法设计、协议设计和实现，以及分析性能评估、仿真和测量实验。

The explosive increase of network-enabled sensors, actuators, and other cyber-physical systems, referred to as the Internet of Things (IoT), together with the proliferation of proprietary network infrastructures that largely bypass the public Internet, requires new solutions for interconnecting large numbers of heterogeneous networks. This project seeks to develop an internetworking architecture that is based on self-organizing application-layer networks. Self-organizing means that devices use all their communication modalities to detect and establish connectivity with other devices to form a network. All nodes of an application-layer network participate in relaying data between sources and destinations of information. Application-layer internetworking refers to the interconnection of devices with attachment points in different network infrastructures at the level of application programs. The long-term objective of this project is to explore the foundations of application-layer internetworking and develop new protocol solutions that enable and facilitate such internetworking. The project will address challenges of integrating low-power IoT devices into the novel internetworking architecture, and addresses scalable routing, resilience to failures, and network policies. The proposed research program seeks to make contributions to a future of highly interconnected networks of IoT and legacy devices. A separate thrust, but an integral part of the project, is the development of new traffic control algorithms using the framework of network calculus theory. Novel trends in technology, such as the ultra-reliable low-latency communication (URLLC) service in 5G networks, have increased the demand for novel scheduling and shaping algorithms. We seek to design algorithms that are based on the sound mathematical principles of the network calculus and that allow an efficient implementation in deployed systems. Doing so we seek to develop theoretical underpinnings for  scheduling and shaping algorithms in modern communication networks. By providing implementations of the developed scheduling and shaping methods, the project seeks to close the gap between the outcome of academic research and deployable technologies. Research activities of this project involve theoretical and experimental research, including the design of algorithms, protocol design and implementation, as well as analytical performance evaluation, simulations, and measurement experiments.