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（工业4.0），预计到2025年将有超过750亿台设备连接到互联网。控制大量的连接设备，如环境传感器、医疗设备、自动驾驶汽车和家用电器等，需要智能监控。在这个领域有几个方面和挑战需要考虑物联网（IoT）框架的性能。在此背景下，本研究项目的目的是探索物联网（IoT）或未来任何跨学科领域的广泛课题，通过开发人工智能系统来提高生活质量。该计划通过设计在线算法、人工智能（机器学习）方法和优化工具来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，这项研究工作将在为智能物联网应用的知识集做出贡献方面发挥主导作用，并为组织提供有关如何增强智能家居，自动驾驶汽车，智能电网，智能医疗保健，智能城市和其他智能物联网系统的建议。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，所有这些领域都专注于依赖物联网设备的自动化系统。我们旨在解决这些研究课题的一些项目包括：1）部署无人机（UAV）以协助和增强蜂窝网络。2)管理无人机以智能地缓存数据或内容并将其传输到物联网设备。3)利用可重构智能表面（RIS）为网络服务较差的地区提供无线通信。4)为中央（控制）单元开发智能系统，以帮助车辆实现自动驾驶。5)为基于物联网的系统提供智能数据异常检测，以确保网络安全。这项研究补助金将提供机会，培养七名研究生和七名本科生五年的主题是在许多加拿大研究部门的需求很高。此外，该研究项目的成果不仅将有助于学术研究，还将有助于加拿大行业增强未来的智能物联网设备。

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.