Machine experience in an IoT/smart-city environment

物联网/智慧城市环境中的机器体验

• 批准号: 520642-2017
• 负责人: Sansò, Brunilde
• 金额: $ 7.53万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=696245
• 关键词: Machine; experience; IoT; smart; city

The current telecommunication infrastructure is designed for human activities and human applications such as voice calls, video streaming and web browsing. With the introduction of the Internet of Things (IoT) and the deployment of smart-cities, a large number of machines will be in charge of a number of applications that will enhance and automate functions for smooth city operation. The telecommunication traffic that results from such a deployment is quite different from traditional human traffic and could, eventually, hinder the operation of current wireless networks. This project deals with the characterization of machine traffic as well as the experience of applications that relate on that traffic in the context of smart-cities. We want to study the interaction among smart-cities applications, including mobility applications, study their impact on current and forthcoming telecommunication infrastructure and propose methods to predict performance degradation.

目前的电信基础设施是为人类活动和人类应用程序设计的，如语音呼叫、视频流和网页浏览。随着物联网（IoT）的引入和智能城市的部署，大量机器将负责许多应用程序，这些应用程序将增强和自动化功能，以实现平稳的城市运营。由这种部署产生的电信流量与传统的人类流量完全不同，并且最终可能阻碍当前无线网络的操作。该项目涉及机器交通的特征以及在智能城市背景下与交通相关的应用程序的经验。我们希望研究智能城市应用（包括移动应用）之间的相互作用，研究它们对当前和未来电信基础设施的影响，并提出预测性能下降的方法。