AIoT Application
This is the top layer aiming to explore innovative intelligent IoT application scenarios in the focused fields of smart infrastructure and construction, smart healthcare, and connected vehicles. Leveraging the technical solutions on the lower layers and with experts from diverse backgrounds and expertise from different disciplines, we can identify new problems in the application areas and discover new solutions from an angle that cannot be seen before.
AIoT Analytics
Big data collected from various sensing sources is critical to solving the challenges in intelligent IoT applications. This layer aims to develop models and algorithms for IoT big data analytics with AI technologies, such as machine learning and reasoning that can automate the steps humans would take to predict events and make decisions.
AIoT System Platform
This layer aims to build advanced system architecture and platforms for AIoT computing and it supports the AIoT Analytics layer. A key technology is edge computing which proves secure, real-time and low-latency computing for mission-critical IoT applications.
AIoT Infrastructure
This is the IoT foundation layer aiming to develop smart sensors and devices, and techniques for sensing and collecting data and reliable data communication among massive IoT devices for different types of IoT environments. IoT applications have a large variety of requirements on the physical characteristics and functions on sensors, actuators, and end devices.
Cross-Layer Issues
Generally, there are five types of cross-layer issues involving human factors & business models, predictive modeling, scalable connectivity & seamless interoperability, trustable IoT data sharing & management, reliability, and security & privacy.
