OVERVIEW OF INTERNET OF THINGS (IoT) NETWORK ARCHITECTURE FOR DIGITAL LEARNING AND DISTANCE EDUCATION

Abstract

The Internet of Things is a rapidly expanding network of interconnected systems and devices that connect and share data or resources over the Internet. It is a complex architecture network involving technologies from a wide range such as cloud computing, sensors and gateways. The main aim of this study is to evaluate the Internet of Things network architecture for distance learning and digital education (IoTNADLDE). The specific objectives included assessing the: IoT network architecture layers, scalability and security of the Internet of Things network standards and protocols of the Internet of Things network and Challenges presented by large-scale IoT network deployments. The method adopted in this study was the incremental descriptive model (IDM). The Internet of Things network architecture comprises multiple layers, which consist of the application layer, physical layer, data layer and network layer. Each layer within the Internet of Things (IoT) network architecture is vital for effectively implementing and functioning distance learning applications, facilitating secure and reliable data communication and sharing. The physical layer encompasses all hardware components and sensors responsible for data collection, whereas the network layer oversees the interactions between devices and gateways. The application layer is tasked with data analysis and processing, while the data layer is responsible for the storage and management of the gathered information. In summary, the IoT network architecture serves as an essential element in the operational success of the Internet of Things, allowing interconnected devices to communicate and share resources or information seamlessly. In conclusion, this study discussed the overview of the Internet of Things network architecture for distance learning.