2024· International Journal of Future Computer and Communication· 1 citation· 15 references
TL;DR
An overview of the IoT architecture is provided, comparing leading IoT platform such as AWS and Microsoft Azure vendor to understand the overall architecture of these platforms and explore their main cores for potential customization in developing a proprietary IoT platform.
Abstract
—The Internet of Things (IoT) is a paradigm facilitating the interconnection of physical objects and devices via the internet, enabling data collection and exchange. As the adoption of IoT continues to grow, the need for a deep understanding of IoT platforms becomes crucial. This paper provides an overview of the IoT architecture, comparing leading IoT platform such as AWS and Microsoft Azure vendor. The objective is to understand the overall architecture of these platforms and explore their main cores for potential customization in developing a proprietary IoT platform. Additionally, the study includes selecting a GPS device to get location for testing Asset Tracking in the platform as proof-of-concept, using an ESP32 acts as a communication gateway, and the software implementation is Arduino IDE. The research concludes by laying the groundwork for a case study, examining an existing IoT platform, and proposing an approach to develop an IoT platform based on local specific needs.
The rapid growth of smart cities has highlighted the need for robust, flexible, and cost-effective platforms that can support the integration and management of Internet of Things (IoT) devices, data streams, and analytics pipelines. However, recent studies have revealed a significant gap in the availability of open-source IoT platforms tailored for smart cities, creating a barrier for researchers and developers seeking to experiment, innovate, and validate connected urban applications. This article proposes a lightweight yet comprehensive open-source smart city platform architecture to address this gap. By integrating essential components such as real-time data ingestion, big data storage, messaging protocols, and data analytics, the platform offers a solid foundation for developing and testing smart city solutions. The architecture focuses on modularity, interoperability, and scalability, ensuring that the system can grow alongside the demands of urban environments. We aim to foster an open, collaborative ecosystem where researchers and developers can freely access, modify, and enhance the platform, driving forward the next generation of smart city innovations. The proposed solution serves as a bridge between theoretical research and practical deployment, reducing barriers to entry and accelerating the development of smarter, more sustainable urban systems.
Nikolaos Monios, P. Papageorgas, Dimitrios D. Piromalis et al.· Electronics· 0 citations
As the concepts of IoT systems deepen, the world inclines towards safety, energy management, sustainability, efficiency, predictability and prevention. With an estimated global market spending on IoT of about $15 trillion by 2030, seamless integration of IoT devices and big data platforms is considered vital to ensure a robust, efficient, and secure IoT ecosystem. Despite its wide application the integration of IoT and big data frameworks is hindered by heterogeneous devices and protocols, semantic incompatibility, and scalability gaps between real-time IoT streams and Big Data systems. Data quality issues, lack of unified standards across edge, fog and cloud layers, security model mismatch, and fragmented data formats and vendor-specific ecosystems are additional challenges that create significant obstacles to seamless data exchange, unified analytics and reliable end-to-end integration. Through a conceptual research method of study, this paper highlights the interoperability of the IoT framework and big data analytics, the application areas of the framework providing sustainable solutions, challenges and opportunities that reflect the need for advancements of the framework strategies followed by recommendations to effectively mitigate the existing and future risks and challenges.
V. R. Naidu, Nafhath Rasheeda Rafiq, Syed Najeeb Rafiq· Digital Technologies Researc...· 0 citations
The findings suggest that the modular API-driven architecture not only improves the flexibility and scalability of multi-device IoT integration but also maintains reliable data consistency and efficient communication performance.
A. M. Elhanafi, Dedy Irwan, Kissi Lola Armedia Br Siregar· SinkrOn· 0 citations
The rapid growth of the Internet of Things (IoT) has significantly accelerated the development of smart home systems, enabling automation, energy efficiency, and enhanced user experience. However, the lack of interoperability among heterogeneous devices and platforms remains a major challenge, resulting in fragmented ecosystems and limited scalability. To address these issues, the Matter protocol has emerged as a unified, IP-based connectivity standard for smart home environments. This paper presents a comprehensive study of the Matter protocol, including its architecture, communication mechanisms, and security model. A practical IoT-based smart home system is designed and implemented using ESP32 platforms and the Matter SDK. The system integrates multiple devices such as smart lighting, switches, smart plugs, and environmental sensors, supporting crossplatform interaction across different ecosystems. Experimental evaluation is conducted under real-world conditions, focusing on interoperability, latency, system stability, and security. The results show that the proposed system achieves reliable crossplatform compatibility, stable network performance, low communication latency, and secure device authentication. Additionally, the system maintains core functionality even under limited network conditions, demonstrating strong robustness. These findings confirm that the Matter protocol is a promising solution for building scalable, secure, and interoperable next-generation smart home systems.
Nghia Duong Tan, H. Manh, P. N. Huu et al.· 2026 11th International Conf...· 0 citations
The findings suggest that the modular API-driven architecture not only improves the flexibility and scalability of multi-device IoT integration but also maintains reliable data consistency and efficient communication performance.
A. M. Elhanafi, Dedy Irwan, Kissi Lola et al.· 0 citations
An LLM-assisted design-time programming workflow for generating Arduino-compatible firmware templates for the proposed modular gateway architecture, a flexible and extensible solution built on Arduino-compatible hardware to support the integration of wireless sensors, communication technologies, and cloud platforms.
Antti Martikkala, A. Lobov, I. F. Ituarte· Discover Internet of Things· 0 citations