Grant: Discovery Grants Program - Individual

Internet of Thing (IoT), powered by 5G/6G technologies, has already been playing a significant role in smart cities, smart homes, smart grids, healthcare, etc. Artificial intelligence (AI) techniques are being widely explored for enhancing the scalability, reliability, and quality-of-service (QoS) in the IoT applications, requiring greater access to information and faster decision making. Effective caching can improve access to data and optimize network efficiency by not wasting network bandwidth due to repeated delivery of popular content. Most of the data is generated and collected by IoT devices and analyzed for monitoring purposes and decisions. So, there is a greater need for securing networks and safeguarding data from malicious users. A major issue of IoT is the limited energy of low-powered wireless IoT devices that are expected to run consistently for a long period of time. Although machine learning and deep learning approaches have been widely considered for IoT application in recent years, the benefits of their full potential need to be explored in finding new and better solutions. The goal of this research program is to propose novel AI-based solutions to address some of the current and future challenges of IoT ecosystem focusing on some key emerging IoT research areas, such as in-network caching, network security, energy management for low-powered IoT devices, and real-time IoT monitoring involving Internet of Vehicles (IoV) and Unmanned Aerial Vehicles (UAV). The proposed solutions will be based on our recent progress in these areas of IoT and will include improved techniques and innovative ideas. We expect the proposed research program will position us in the forefront of cutting-edge IoT research and provide significant economic benefits to different industrial sectors.