Devising a method for energy-efficient control over a data transmission process across the mobile high-density internet of things
DOI:
https://doi.org/10.15587/1729-4061.2025.336111Keywords:
Internet of Things transactions, energy resource, fog gateway, Pareto-optimal solution, boundary computationsAbstract
This study’s object is the process that controls data transmission across the mobile high-density Internet of Things. The task addressed is to reduce energy consumption when transmitting mobile IoT transactions to fog gateways was by devising a method for energy-efficient data transmission control.
To this end, it was proposed to optimize the distribution of active mobile devices across the fog layer gateways. In the process of research, the architecture of the data transmission subsystem between the boundary and fog layers of the Internet of Things was formed. During the development, an intermediate level of support infrastructure was selected – Communication Layer. That has made it possible to build a mathematical model of the data transmission process control process. The main difference of this model from existing ones is a significant acceleration of calculations when finding a Pareto-optimal solution. To this end, the method of successive concessions was used. It has made it possible to solve a three-criteria optimization problem with objective functions ordered by significance.
The mathematical model has made it possible to devise a method for energy-efficient control over the data transmission process across the mobile high-density Internet of Things. The main difference of this method from existing ones is the optimization of the process simultaneously according to three criteria: energy efficiency, priority, and time. In this case, preference is given to the criterion of energy efficiency of data transmission by mobile IoT devices. That has made it possible to significantly reduce the time of searching for a Pareto-optimal solution when transmitting transactions to a cloud data processing center.
The research results are attributed to the application of the successive concessions method together with the ant colony algorithm with a limited number of iterations. The method proves effective when concessions on the energy resource of mobile devices are from 5 to 15%.
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Copyright (c) 2025 Heorhii Kuchuk, Oleksandr Mozhaiev, Serhii Tiulieniev, Mykhailo Mozhaiev, Nina Kuchuk, Andrii Lubentsov, Yurii Onishchenko, Yurii Gnusov, Olha Brendel, Viktoriia Roh

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