FOG COMPUTING UTILIZATION GUIDE IN HOME CONSUMER IOT DEVELOPMENT

• Main Author: Aditya Samiadji, Wisnu
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/85545
• Institution: Institut Teknologi Bandung

The proliferation of Internet of Things (IoT) devices has significantly impacted the home consumer market, offering new opportunities and challenges. Fog computing, which provides local data processing, has emerged as a solution to overcome latency and bandwidth issues associated with cloud computing. However, existing guidelines such as ELDAMeth and TpM-Pro are not fully equipped to address the specific needs of home consumer IoT systems integrated with fog computing. This paper proposes a guideline designed to optimize the development of such systems. The guideline leverages the strengths of existing methodologies while introducing modifications to improve efficiency, scalability, and real-time performance. A comparative analysis between ELDAMeth and TpM-Pro is conducted to identify the strengths and weaknesses of each methodology, and to provide a solid foundation for the development of this new guideline. The guideline is validated through a case study of a home consumer IoT prototype development assisted by an IoT expert. Iterative steps and integration testing are performed to ensure all components work well together. The prototype is tested in a controlled environment to identify and resolve design issues prior to real-world deployment. The use of the guideline in the case study is evaluated, with adjustments made if necessary. This study contributes by providing a tailored guideline for home consumer IoT systems with fog computing, to facilitate better project outcomes. Although the security aspect was not addressed in the prototype development, this guideline provides a basis for future improvements in this area.