Enabling Next-Generation IoT and Cloud Solutions through 5G Wireless Networks
Abstract
The combined use of IoT and cloud computing using 5G networks for industries can change the facet of Industries but poses certain limitations in real-time applications. Existing IoT systems experience high latency, unfair sharing, and network reliability issues during a high load when different IoT instances have to work in harmony. Besides, problems connected with security threats and energy waste worsen these irregularities, especially in healthcare, smart cities, and disaster management. In light of these challenges, the next-generation solution formulated in this paper is called an adaptive IoT mesh network with a dynamic cloud offloading system. Exploiting features of 5G networks including low latency, slicing, and massive connectivity, the proposed system proactively and adaptively migrates computations between IoT things, edge nodes, and cloud servers using network status such as bandwidth, latency, and energy. The solution presents intelligent mesh nodes in terms of AI to decide assignments, a self-healing network for dependability, and a blockchain-based zero-trust architecture for more security. Based on the context information of the executed tasks and the inflow of new tasks, the consumable resources and the execution time of the individual tasks to achieve them are dynamically adjusted so that important operations carried out are not affected by the availability and congestion of the networks. Moreover, regarding sustainability, the stated architecture does not encourage the use of clouds inappropriately and so does not lead to the wastage of energy and organizational expenses. This innovation not only helps solve existing shortcomings but also creates initial conditions for the emergence of remarkably scalable and robustly developed IoT-cloud systems that may easily meet the increasing requirements. Finally, the solution benefits the creation of a long-term, effective, and safe paradigm for IoT and cloud integration to advance industries and environmental protection catalytically.
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Copyright (c) 2025 K. Meena Alias Jeyanthi, R. Ramkumar (Author)

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