An Autonomous IoT Programming Paradigm Supporting Neuromorphic Models and Machine Learning Models

Sanglok Yoo, Keonmyung Lee, Youngsun Yun, Jiman Hong

http://doi.org/10.5626/JOK.2020.47.3.310

The demands and expectations of the IoT (Internet of Things) application services are increasing with the development of sensor technology and high-speed communication infrastructures. Even with many sensors operating and networked, transmission of all the sensor data to the server for processing is inefficient in terms of communication bandwidth and storage space. Meanwhile, with the recent development of artificial intelligence technology, the demand for intelligent processing of the IoT is increasing. This paper proposes a programming paradigm that can apply neuromorphic model-based models and machine learning models relative to IoT clients, and a programming paradigm that applies machine learning models and knowledge processing models relative to IoT servers. The proposed programming paradigm is expected to be valuable for the intelligent IoT as well as for autonomous IoT environments in that various AI modules can be applied relative to IoT clients and server programs.