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Fractals for Internet of Things Network Structure Planning

Fractals for Internet of Things Network Structure Planning

Alexander Paramonov, Evgeny Tonkikh, Ammar Muthanna, Ibrahim A. Elgendy, Andrey Koucheryavy
Copyright: © 2022 |Volume: 16 |Issue: 1 |Pages: 12
ISSN: 1930-1650|EISSN: 1930-1669|EISBN13: 9781683180203|DOI: 10.4018/ijisp.305223
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MLA

Paramonov, Alexander, et al. "Fractals for Internet of Things Network Structure Planning." IJISP vol.16, no.1 2022: pp.1-12. http://doi.org/10.4018/ijisp.305223

APA

Paramonov, A., Tonkikh, E., Muthanna, A., Elgendy, I. A., & Koucheryavy, A. (2022). Fractals for Internet of Things Network Structure Planning. International Journal of Information Security and Privacy (IJISP), 16(1), 1-12. http://doi.org/10.4018/ijisp.305223

Chicago

Paramonov, Alexander, et al. "Fractals for Internet of Things Network Structure Planning," International Journal of Information Security and Privacy (IJISP) 16, no.1: 1-12. http://doi.org/10.4018/ijisp.305223

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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.

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