Fractals for Internet of Things Network Structure Planning

Alexander Paramonov, Evgeny Tonkikh, Ammar Muthanna, Ibrahim A. Elgendy and Andrey Koucheryavy
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Alexander Paramonov: Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), Russia
Evgeny Tonkikh: Radio Research and Development Institute (NIIR), Russia
Ammar Muthanna: Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), Russia
Ibrahim A. Elgendy: Faculty of Computers and Information, Menoufia University, Egypt
Andrey Koucheryavy: Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), Russia

International Journal of Information Security and Privacy (IJISP), 2022, vol. 16, issue 1, 1-12

Abstract: Wireless communication networks and technologies are witnessed a huge improvement which gain a large number of users. In addition, the choice and using methods of the network are depending on the environment in which it is created. Although the network in each case is unique, many of them share a lot of common. To this end, we propose a new approach for planning the structure of the Internet of Things (IoT) network based on fractals, where fractal figures are utilized to describe the structure of the target environment. Moreover, fractal dimension’s estimation, fraction area occupied by the target environment, and network model are used in the planning process. This approach allows you to choose a model that accurately describes the properties of the environment. Finally, the results proved the suitability of this approach for the IoT network structure planning in an urban or other environment based on the target environment’s data.

Date: 2022
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