A WoT Platform for Supporting Full-Cycle IoT Solutions from Edge to Cloud Infrastructures: A Practical Case

Area of Science:

• Computer Science
• Educational Technology

Background:

• Internet of Things (IoT) learning requires transversal skills across edge and cloud computing.
• Traditional IoT education faces challenges in providing practical, full-cycle application development experience.

Purpose of the Study:

• To present the Labs of Things at UNED (LoT@UNED) platform as an infrastructure for IoT learning.
• To demonstrate how LoT@UNED facilitates the complete development cycle of IoT applications.

Main Methods:

• Implementation of a Web of Things (WoT) platform (LoT@UNED).
• Utilizing the platform for remote experimentation in computer science subjects.
• Focusing on edge computing, cloud computing, and data processing stages.

Main Results:

• Students can engage in remote, collaborative experimentation within a cloud-based WoT learning environment.
• The platform supports the learning of full IoT application development cycles.
• Generated sensor data can be analyzed within the learning environment.

Conclusions:

• LoT@UNED provides a viable infrastructure for effective IoT education.
• The platform enhances student learning by enabling practical application development and data analysis.
• Remote experimentation fosters skill acquisition in edge and cloud computing for IoT.