Innovative Horizons in IoT and Cloud Continuum: Enhancing Data Processing and Advanced Analytical Solutions

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Abstract

The convergence of the Internet of Things (IoT) with cloud, edge, and fog computing has catalyzed a transformative shift in data processing and real-time analytics across multiple sectors. This review explores the emerging IoT and cloud continuum, emphasizing its role in enhancing system scalability, reducing latency, and enabling intelligent, distributed decision-making. A central contribution of this work is the design and implementation of a real-time greenhouse monitoring and control system based on an FPGA platform, specifically the DE2-115 development board with a Cyclone IV EP4CE115F29C7 device. The system integrates real-time environmental sensing based on temperature, humidity, soil moisture, and light status with dynamic control of actuators such as fans, water pumps, LEDs, and humidifiers. Operating in both manual and autonomous modes, the system demonstrates high efficiency, utilizing only 2% of logic elements and < 3% of logic array blocks, while providing robust data visualization via onboard displays and a mobile interface. This practical implementation is contextualized within the broader IoT-cloud continuum, illustrating how edge processing with FPGA complements cloud-based analytics for precision agriculture. Moreover, the review investigates the architectures and protocols that underpin the continuum, addressing challenges such as security, privacy, and interoperability. Special attention is given to the role of AI, machine learning, and predictive analytics in enhancing decision-making. The paper concludes with future research directions, highlighting the potential of emerging technologies including 5G, edge AI, and blockchain to overcome current limitations, enhance data processing, and drive innovation. By integrating real-world application with theoretical advancement, this work offers a scalable, efficient, and intelligent model for future smart systems in agriculture, healthcare, smart cities, and beyond.

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Dafhalla, A. K. Y., Isam, H. M., Zangana, S., Eldeen, A. I. G., & Adam, T. (2025). Innovative Horizons in IoT and Cloud Continuum: Enhancing Data Processing and Advanced Analytical Solutions. Journal of Computer Networks and Communications. John Wiley and Sons Ltd. https://doi.org/10.1155/jcnc/3635533

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