Revolutionizing Connectivity: The Power of AI, IoT, and Edge Computing for Smart and Autonomous Systems
Aliki G. Christou, Christos L. Stergiou, Vasileios A. Memos, Yutaka Ishibashi, Kostas E. Psannis · 2023
The growing need for data analysis in the industry and smart city sectors highlight the transformative potential of integrating AI, IoT, and edge computing. Through the utilization of AI algorithms and real-time data derived from IoT devices, these systems enable advanced analytical capabilities at the network edge, thus optimizing efficiency and decision-making processes. Furthermore, the adoption of edge computing mitigates latency and transmission concerns and ensures data security, while the infusion of AI-driven autonomy expands the horizons of applications across sectors such as transportation and manufacturing. However, there are challenges regarding network architecture, data management, and security that need to be addressed in the integrated implementation of AIoT architecture.