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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">koz</journal-id><journal-title-group><journal-title xml:lang="ru">"Вестник Северо-Казахстанского университета имени Манаша Козыбаева"</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of Manash Kozybayev North Kazakhstan University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2958-003X</issn><issn pub-type="epub">2958-0048</issn><publisher><publisher-name>М. Қозыбаев атындағы СҚУ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.54596/2958-0048-2026-3-296-308</article-id><article-id custom-type="elpub" pub-id-type="custom">koz-2938</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАЦИОННО-КОММУНИКАЦИОННЫЕ ТЕХНОЛОГИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATION AND COMMUNICATION TECHNOLOGIES</subject></subj-group></article-categories><title-group><article-title>ИМИТАЦИОННАЯ МОДЕЛЬ ДЛЯ ОЦЕНКИ ПРОИЗВОДИТЕЛЬНОСТИ IoT-СИСТЕМ С УЧЕТОМ СЕТЕВЫХ ХАРАКТЕРИСТИК</article-title><trans-title-group xml:lang="en"><trans-title>A SIMULATION-DRIVEN FRAMEWORK FOR NETWORK-AWARE PERFORMANCE EVALUATION OF IOT SYSTEMS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7985-8696</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Bayraktar</surname><given-names>A. S.</given-names></name><name name-style="western" xml:lang="en"><surname>Bayraktar</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сакарья</p></bio><bio xml:lang="en"><p>PhD Candidate, Department of Software Engineering</p></bio><email xlink:type="simple">asbayraktar@sakarya.edu.tr</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6912-0057</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ceken</surname><given-names>C.</given-names></name><name name-style="western" xml:lang="en"><surname>Ceken</surname><given-names>C.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сакарья</p></bio><bio xml:lang="en"><p>corresponding author, PhD, Sakarya University, Department of Computer Engineering</p></bio><email xlink:type="simple">celalceken@sakarya.edu.tr</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Университет Сакарья, кафедра программной инженерии</institution><country>Турция</country></aff><aff xml:lang="en"><institution>Sakarya University, Department of Computer Engineering, Sakarya, Türkiye</institution><country>Turkey</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Университет Сакарья, кафедра компьютерной инженерии</institution><country>Турция</country></aff><aff xml:lang="en"><institution>Sakarya University, Department of Software Engineering, Sakarya, Türkiye</institution><country>Turkey</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>30</day><month>09</month><year>2026</year></pub-date><volume>0</volume><issue>3 (71)</issue><fpage>296</fpage><lpage>308</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Bayraktar A.S., Ceken C., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Bayraktar A.S., Ceken C.</copyright-holder><copyright-holder xml:lang="en">Bayraktar A., Ceken C.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.ku.edu.kz/jour/article/view/2938">https://vestnik.ku.edu.kz/jour/article/view/2938</self-uri><abstract><p>Выбор и развертывание подходящей беспроводной сенсорной сети (WSN) является важной задачей при проектировании IoT-систем. Оценка различных конфигураций WSN посредством физического развертывания может требовать значительных затрат времени и ресурсов. В данной работе предлагается структура, основанная на моделировании, которая интегрирует моделируемую WSN с коммуникационной инфраструктурой IoT на базе MQTT для оценки производительности системы с учетом характеристик сети до физического развертывания. WSN на основе SDN-WISE была реализована с использованием симулятора Cooja, а генерируемый сенсорный трафик передавался в MQTT-кластер на базе Mosquitto посредством механизма интеграции через сокетное соединение. В отличие от традиционных подходов, использующих независимые генераторы трафика, MQTT-нагрузка в предлагаемой структуре формируется непосредственно моделируемой WSN. Эксперименты со сценариями, содержащими 24, 36 и 48 узлов, показали, что средняя сквозная задержка увеличилась с 37,51 мс до 138,01 мс, тогда как общая пропускная способность на уровне приложений увеличилась с 142,51 бит/с до 281,12 бит/с. Во всех сценариях коэффициент доставки пакетов сохранялся практически на уровне 100%. Предлагаемый подход обеспечивает контролируемую и воспроизводимую среду для оценки различных конфигураций WSN и позволяет сократить необходимость многократного физического развертывания на ранних этапах проектирования IoT -систем.</p></abstract><trans-abstract xml:lang="en"><p>Selecting and deploying an appropriate wireless sensor network (WSN) is an important challenge in IoT system design. Evaluating different WSN configurations through physical deployment can be costly and time-consuming. This study proposes a simulation-driven framework that integrates a simulated WSN with an MQTT-based IoT communication infrastructure to enable network-aware performance evaluation prior to physical deployment. An SDN-WISE-based WSN was implemented using the Cooja simulator, and the generated sensor traffic was forwarded to a Mosquitto-based MQTT cluster via a socket-based integration mechanism. Unlike conventional approaches that use independent traffic generators, the MQTT workload in the proposed framework originates directly from the simulated WSN. Experiments with 24-, 36-, and 48-node scenarios showed that average end-to- end delay increased from 37.51 ms to 138.01 ms, while total application throughput increased from 142.51 bps to 281.12 bps. Packet delivery remained effectively near 100% across all scenarios. The proposed approach provides a controlled, repeatable environment for evaluating various WSN configurations and can reduce the need for multiple physical deployments in the early stages of IoT system design.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Интернет вещей</kwd><kwd>беспроводные сенсорные сети</kwd><kwd>Cooja</kwd><kwd>MQTT</kwd><kwd>моделирование сетей</kwd><kwd>проектирование IoT -систем</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Internet of Things</kwd><kwd>wireless sensor networks</kwd><kwd>Cooja</kwd><kwd>MQTT</kwd><kwd>network simulation</kwd><kwd>IoT system design</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Gallegos Ramonet, A., Pecorella, T., Picano, B., Kinoshita, K. “Perspectives on IoT-oriented Network Simulation Systems”, Computer Networks. 2024, Vol. 253. Art. No. 110749. 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