Abstract
The advancement of the Internet of Things (IoT) as a solution in diverse application domains has nurtured the expansion in the number of devices and data volume. Multiple platforms and protocols have been introduced and resulted in high device ubiquity and heterogeneity. However, currently available IoT architectures face challenges to accommodate the diversity in IoT devices or services operating under different operating systems and protocols. In this paper, we propose a new IoT architecture that utilizes the component-based design approach to create and define the loosely-coupled, standalone but interoperable service components for IoT systems. Furthermore, a data-driven feedback function is included as a key feature of the proposed architecture to enable a greater degree of system automation and to reduce the dependency on mankind for data analysis and decision-making. The proposed architecture aims to tackle device interoperability, system reusability and the lack of data-driven functionality issues. Using a real-world use case on a proof-of-concept prototype, we examined the viability and usability of the proposed architecture.
Highlights
The advancement in wireless communication technology and high-speed Internet connectivity have fostered the development of data ubiquity and data heterogeneity
An experiment was conducted to test the data-driven feedback mechanism’s operation and the viability of the system to be implemented on a real-world use case, which is the Maximum Power Point Tracker (MPPT) application
This paper presents a component-based architecture for Internet of Things (IoT) systems that supports system interoperability and service reusability, while able to accommodate flexible data-driven feedback functions
Summary
The advancement in wireless communication technology and high-speed Internet connectivity have fostered the development of data ubiquity and data heterogeneity. Most of the real-world IoT systems leveraged model-based design methodology to build systems that solely suits the needs of the designated applications These solutions might provide superior solutions for specific use cases but lead to a heterogeneous protocol landscape for IoT ecosystems and raise questions on how to enable a clear path for providers to utilize those IoT architectures [12]. The introduction of Mobile Edge Computing (MEC) paradigm further extends the complexity of IoT system design due to the mobility management [19] These explicit model-based solutions are not cost-effective due to the limited system and device interoperability, and low reusability.
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