Smart Iot-Based Systems: Deployment and Management

随着技术的快速发展，特别是在专注于自动化的行业(Industry 4.0)，预计到2025年将有超过750亿台设备连接到互联网。控制大量的互联设备，如环境传感器、医疗保健设备、自动驾驶汽车和家用电器等，产生了对智能监控的需求。物联网(IoT)框架的性能需要考虑这一领域的几个方面和挑战。例如，数据传输和通信、数据分析、安全等。在此背景下，该研究计划的目标是探索物联网或任何未来跨学科领域的广泛主题，这些主题将通过开发具有人工智能的系统来提高生活质量。该计划将通过设计在线算法、人工智能(机器学习)方法和优化工具，积极参与此类系统的开发，以解决许多物联网挑战和问题，并提供对未来城市和社会至关重要的现代服务。从长远来看，这项研究工作将在贡献智能物联网应用的知识集方面发挥主导作用，并就如何增强智能家居、自动驾驶汽车、智能电网、智能医疗、智能城市和其他基于智能物联网的系统向组织提供建议。我们计划通过设计在线算法和优化工具来积极参与这项技术的开发，以解决许多物联网挑战和问题。就短期而言，我们的贡献可以分为不同的研究领域，都专注于依赖物联网设备的自动化系统。我们致力于解决这些研究课题的一些项目包括：1)部署无人驾驶飞行器(UAV)以协助和增强蜂窝网络。2)管理无人机以智能缓存数据或内容并将其传输到物联网设备。3)使用可重构智能面(RIS)为网络服务较差的地区提供无线通信。4)开发辅助车辆自动驾驶的中央(控制)单元智能系统。5)为基于物联网的系统提供智能数据异常检测，保障网络安全。这笔研究补助金将提供机会，培训七名研究生和七名本科生，为期五年，研究加拿大许多研究部门非常需要的主题。此外，该研究项目的成果不仅将为学术成果做出贡献，还将为加拿大行业提升未来智能物联网设备做出贡献。

With the rapid development of technology, especially in industries that focus on automating things (Industry 4.0), it is estimated that there will be more than 75 billion devices connected to the internet by 2025. Controlling this huge number of connected devices such as environmental sensors, healthcare devices, autonomous vehicles, and home appliances among others creates a requirement for intelligent monitoring. There are several aspects and challenges in this area which need to be considered for the performance of the Internet-of-Things (IoT) framework. For instance, data transmission and communications, data analysis, security, and so on. In this context, the objective of this research program is to explore a broad range of topics in IoT or any future interdisciplinary areas that will improve the quality of living through the development of systems with artificial intelligence. The plan is to actively participate in the development of such systems by designing online algorithms, artificial intelligent (machine learning) methods, and optimization tools to solve many IoT challenges and problems and to deliver modern services that are essential for future cities and societies. In the long run this research work will take a leading role in contributing to the knowledge set of smart IoT applications and provide suggestions to organizations on how to enhance smart homes, autonomous vehicles, smart grids, smart healthcare, smart cities, and other smart IoT-based systems. We plan to actively participate in the development of this technology by designing online algorithms and optimization tools to solve many IoT challenges and problems. As for the short term, our contributions can be classified into different areas of research, all focusing on automating systems that rely on IoT devices. Some of the projects we aim to undertake in addressing these research topics include: 1) Deploying unmanned aerial vehicles (UAVs) to assist and enhance cellular networks. 2) Managing UAVs to smartly cache and transmit data or content to IoT devices. 3) Using reconfigurable intelligent surface (RIS) to provide wireless communication for areas with poor network services. 4) Developing an intelligent system for a central (control) unit to assist vehicles in their autonomous driving. 5) Providing IoT-based systems with intelligent data anomaly detection for cyber security. This research grant will provide opportunities to train seven graduate and seven undergraduate students for five years on topics which are highly in-demand in many Canadian research sectors. In addition, the results of this research program will not only contribute to the academic findings, but will also contribute to Canadian industries in enhancing future smart IoT devices.