Conference Paper

Volodymyr Sokolov , Pavlo Skladannyi , Hennadii Hulak

Sensor networks allow the transmission of data for medical and research purposes. They are essential for building IoT wireless networks. The widespread use of such networks requires simplification of their construction and administration. The easiest way to develop and scale such a network is to use self-organizing networks. Since IoT networks operate in the available ISM frequency range, it constantly requires monitoring the load on the air. The paper shows the process of selecting free wireless channels using spectrum analysis. After the channel is selected, the throughput of the self-organizing system (botnets) is analyzed. The architecture and analysis of research results for botnets based on available hardware are shown. In addition, the issue of secure data transmission using fast and simple XTEA block encryption is considered.

| 10.32782/cmis/3137-19

bandwidth analysis; block encryption; botnets; IoT; self-organizing network; Spectrum analysis; wireless; XTEA

Neural Network; Wireless Sensor Network; Quality of Service

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2022 Fifth International Workshop on Computer Modeling and Intelligent Systems (CMIS)

12 May 2022 Zaporizhzhia, Ukraine

First Online: 19 May 2022

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• ISSN: 1613-0073

• EID: 2-s2.0-85130712118

• URN: urn:nbn:de:0074-3137-4

• DBLP: conf/cmis/SokolovSH22

• KUBG: 41190

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APA

IEEE

CEUR-WS: V. Sokolov, P. Skladannyi, H. Hulak, Stability Verification of Self-Organized Wireless Networks with Block Encryption, in: 5th International Workshop on Computer Modeling and Intelligent Systems, vol. 3137 (2022) 227–237. doi: 10.32782/cmis/3137-19.