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Intelligent Secure Data Aggregation in WSNs, Journal of Telecommunications and Information Technology, 2025, nr 3
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Tytuł: Intelligent Secure Data Aggregation in WSNs, Journal of Telecommunications and Information Technology, 2025, nr 3

Autor:

Semenova, Olena ; Kryvinska, Natalia ; Baraban, Serhii ; Prytula, Maksym ; Martyniuk, Volodymyr

Data wydania:

2025, nr 3

Typ zasobu:

artykuł

Tytuł publikacji grupowej:

2025, nr 3, JTIT-artykuły

Opis:

kwartalnik

Abstrakt:

The paper discusses the problem of secure data aggregation in wireless sensor networks (WSNs) - a procedure that is of critical importance for reducing energy consumption, minimizing transmission overhead, and thus prolonging network lifetime. Due to the limited computational and energy resources of WSN nodes, traditional aggregation methods often fail to perform effectively in dynamic heterogeneous environments. With such a context taken into consideration, this study emphasizes the potential of artificial intelligence techniques, such as neural networks, genetic algorithms, and fuzzy logic, to enable adaptive aggregation approaches tailored to environmental and network-specific parameters. Furthermore, the integration of fuzzy logic, genetic algorithms, and artificial neural networks into a hybrid system leverages the strengths of each approach, resulting in enhanced adaptability and accuracy of the aggregation process. As part of the investigation, a fuzzy inference system (FIS) model was developed that incorporates attributes such as energy, current load, distance to the base station, and trust level. The model was implemented in Matlab using the Fuzzy Logic Designer toolbox. To further improve system performance, a genetic algorithm was applied to optimize membership functions. In the final phase, the model was transformed into an adaptive neurofuzzy inference system (ANFIS) which was trained using simulated data within Matlab. The simulation results demonstrate that the proposed hybrid approach ensures flexible, robust and energy-efficient control of the data aggregation process under dynamically changing conditions in which WSNs operate.

Numer:

3

Wydawca:

National Institute of Telecommunications

Identyfikator zasobu:

oai:bc.itl.waw.pl:2409

DOI:

10.26636/jtit.2025.3.2220

eISSN:

on-line: ISSN 1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Licencja:

CC BY 4.0

Temat i słowa kluczowe:

artificial intelligence data aggregation fuzzy logic security wireless sensor networks

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

2 paź 2025

Data dodania obiektu:

2 paź 2025

Liczba wyświetleń treści obiektu:

14

Wszystkie dostępne wersje tego obiektu:

https://bc.itl.waw.pl/publication/2727

Wyświetl opis w formacie RDF:

RDF

Wyświetl opis w formacie OAI-PMH:

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Nazwa wydania Data
Semenova, Olena; Kryvinska, Natalia; Baraban, Serhii, Intelligent Secure Data Aggregation in WSNs, Journal of Telecommunications and Information Technology, 2025, 2 paź 2025

Obiekty Podobne
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Fuzzy Clustering with Multi-Constraint QoS Service Routing in Wireless Sensor Networks, Journal of Telecommunications and Information Technology, 2019, nr 1

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czasopismo
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Rykaczewski, Roman Dzwonkowski, Mariusz Czaplewski, Bartosz

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artykuł
EARPC – Energy Aware Routing Protocol for Cooperative MIMO Scheme in WSNs, Journal of Telecommunications and Information Technology, 2020, nr 3

Reddy, Kummathi Chenna M. N., Thippeswamy Devanagavi Geetha D.

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artykuł
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