WiFiUS: Collaborative Research: Ultra-low latency and High Reliability for Wireless IoT

新兴的物联网（IoT）提供了广泛的新应用前景，包括关键基础设施的控制、移动的医疗保健和工业控制。支持许多这些应用的关键挑战是使无线网络能够提供超低延迟和高可靠性服务。该项目正在开发新的方法，以满足这一挑战，通过进一步的无线网络控制的基本理解。 作为WiFiUS的一部分，该项目正在加强美国和芬兰之间的联系。通过研究生的参与和将研究成果纳入课程，该项目正在帮助培养下一代研究人员。该项目正在开发一个新的框架，以支持新兴物联网应用的超低延迟和高可靠性网络服务。 这些新兴应用通常对延迟和可靠性提出了严格的要求，而现有技术无法满足这些要求。 该项目背后的主要思想是延迟和可靠性是内在耦合的，不仅必须在物理层解决，而且必须在更高的网络层解决。 该项目的综合研究议程涉及各种时间尺度下的延迟和可靠性，从数据包时间尺度和MAC层调度到网络部署及其服务的经济性。 针对的具体任务包括：1）分组时间尺度优化：这里的问题包括如何将消息划分为分组，用于发送分组的时隙长度以及各种物理层参数; 2）MAC时间尺度优化：这里的重点是跨不同流调度流量，以满足IoT任务的延迟和可靠性要求; 3）网络级时间尺度：这里的重点是通过利用网络多样性来确保足够水平的可靠性，从而在多跳网络上实现端到端的可靠性;以及4）网络规划时间尺度：这里的问题包括如何部署网络以及如何在网络运营商之间形成共享协议以增强网络多样性和可靠性。

The emerging Internet-of-Things (IoT) offers the promise of a wide range of new applications including control of critical infrastructure, mobile health-care, and industrial control. A key challenge for supporting many of these applications is to enable wireless networks to provide ulta-low latency and high reliability services. This project is developing new approaches to meet this challenge by furthering fundamental understanding of the control of wireless networks. As part of WiFiUS, the project is strengthening ties between the United States and Finland. Through the involvement of graduate students and the incorporation of results from the research into courses, the project is helping to develop the next generation of researchers.This project is developing a new framework for supporting ultra-low latency and high reliability network services for emerging Internet-of-Things applications. These emerging applications often impose stringent requirements on both latency and reliability that cannot be met with existing techniques. The main idea behind this project is that latency and reliability are inherently coupled and must be addressed not just at the physical layer but also at higher network layers. The project's comprehensive research agenda addresses latency and reliability at various time scales, ranging from packet time scale and MAC layer scheduling to network deployment and the economics of their services. Specific tasks being targeted include: 1)Packet time scale optimization: Issues here include how messages are divided into packets, the length of time-slot used to send packets, and various physical layer parameters; 2)MAC time-scale optimization: The focus here is on scheduling traffic across different flows so as to meet the latency and reliability requirements of IoT tasks; 3)Network level time-scale: The focus here is on end-to-end reliability over a multi-hop network, by exploiting network diversity to ensure an adequate level of reliability; and 4)Network planning time-scale: Issues here include how networks are deployed and how sharing agreements are formed among network operators to enhance network diversity and reliability.