Devising a method for forming a stable mobile cluster of the internet of things fog layer
Year: 2025
Type: article
Abstract: The object of this study is the process of clustering the fog layer of the Internet of Things (IoT) with high and ultra-high density. The task to increase the stability of mobile components in the fog layer has been solved by modifying the clustering method. In the process of conducting research, an approach was devised to form the architecture of the mobile component in the fog layer of the IoT. The development took into account the decentralization of the fog layer and the specific features of mobile IoT devices. This has made it possible to propose a four-level architecture, which, unlike the standard one, contains separate mobile clusters at the lower level of fog devices. A model of a mobile cluster of the fog layer has been proposed, which takes into account the randomness of the mobile IoT devices movement and is based on the Thomas point process. Unlike existing models, it takes into account both spatial and stability indicators of mobile cluster components. This model has made it possible to modify the standard FOREL clustering algorithm. The modification was carried out by introducing weight coefficients when finding the position of the center of the mobile cluster. The proposed method increases the stability of a mobile cluster of the IoT fog layer with high and ultra-high density. Studies of the proposed method have shown that with an increase in the average relative deviation of IoT devices from the planned movement, the stability of the mobile cluster structure increases. The research results can be explained by the approach of the center of the mobile cluster to its most unstable components. The proposed method could be used in the clustering of the IoT fog layer with mobile components. The method is effective when the average deviation of the movement of IoT mobile devices from the planned movement is no more than 20 % of the cluster radius
Institutions: National Technical University "Kharkiv Polytechnic Institute", Kharkiv National University of Internal Affairs, National Scientific Center «Ноn. Prof. М.S. Bokarius Forensic Science Institute», Kyiv Scientific Research Institute of Forensic Expertise of the Ministry of Justice of Ukraine
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $242
OpenAlex ID: W4408123710