Semantic Interoperability for Context-Aware Autonomous Control using IoT and Edge Computing

The exponential development of Internet of things (IoT) services over edge computing and cloud networks has increased the utilities of remote monitoring, control systems, continuous maintenance and effective utilization of services for applications, such as smart cities. However, data modelling is required to manage such heterogeneous data sources. IoT applications gather data from diverse sources. These applications sometimes obtain data in the form of datasets. Heterogeneous datasets are used for various purposes, and the issue of semantic interoperability arises. Therefore, this paper presents an empirical study of IoT-based semantic interoperability. This study aims at combining portable and fixed sensors with an intermediate microcontroller module and annotating data semantically for the smart autonomous environment, smart home. A context model is devised for developing a mechanism over an ontology schema for managing and passing controlling and monitoring messages to home appliances effectively. The proposed model integrates the environment with the context of a person in a smart autonomous environment for efficient energy consumption and enhanced living context model experience.