Application-layer Internetworking for the Internet of Things

基于网络的传感器、执行器和其他网络物理系统（即物联网）的爆炸式增长，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连接大量异构网络。该项目旨在开发一种基于自组织应用层网络的互联网络架构。自组织是指设备使用其所有通信方式来检测并与其他设备建立连接，从而形成网络。应用层网络的所有节点都参与信息源和目的地之间的数据中继。应用层互联是指在应用程序层面上，不同网络基础设施中具有附着点的设备之间的互联。该项目的长期目标是探索应用层互联网络的基础，并开发新的协议解决方案，以实现和促进这种互联网络。该项目将解决将低功耗物联网设备集成到新型互联网络架构中的挑战，并解决可扩展路由、故障恢复能力和网络策略。拟议的研究计划旨在为物联网和传统设备的高度互联网络的未来做出贡献。

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.