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Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection

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Název: Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection
Autoři: Ramazan Kocaoğlu, M. Hanefi Calp, M. Ali Akcayol
Zdroj: Volume: 12, Issue: 2153-166
El-Cezeri
Informace o vydavateli: El-Cezeri: Journal of Science and Engineering, 2025.
Rok vydání: 2025
Témata: Engineering Practice and Education (Other), Mühendislik Uygulaması ve Eğitim (Diğer), access point allocation, genetic algorithms, optimization, channel conflict
Popis: In recent years, high bandwidth and cost-efficient wireless network technologies have emerged as a competition factor in process of constituting own infrastructure. On the other hand, today's challenges of designing an effective layout have become an important problem for public institutions and private companies with increasing requests. There are some methods to solve this problem. In this study, a new approach based on a genetic algorithm is proposed to solve the mentioned problem. A simulation is developed to test the success of the algorithm. The most effective layout design of access points is constituted by the distance between access points and the communication channels used in the developed simulation. The obtained experimental results showed that the proposed algorithm successfully achieved the challenge of designing an access point layout in terms of total coverage area and average bandwidth per user.
Druh dokumentu: Article
Popis souboru: application/pdf
Jazyk: English
ISSN: 2148-3736
DOI: 10.31202/ecjse.1529228
Přístupová URL adresa: https://dergipark.org.tr/tr/pub/ecjse/issue/91752/1529228
Přístupové číslo: edsair.doi.dedup.....d01d243abeeb049a98deb188d2458cb5
Databáze: OpenAIRE
Popis
Abstrakt:In recent years, high bandwidth and cost-efficient wireless network technologies have emerged as a competition factor in process of constituting own infrastructure. On the other hand, today's challenges of designing an effective layout have become an important problem for public institutions and private companies with increasing requests. There are some methods to solve this problem. In this study, a new approach based on a genetic algorithm is proposed to solve the mentioned problem. A simulation is developed to test the success of the algorithm. The most effective layout design of access points is constituted by the distance between access points and the communication channels used in the developed simulation. The obtained experimental results showed that the proposed algorithm successfully achieved the challenge of designing an access point layout in terms of total coverage area and average bandwidth per user.
ISSN:21483736
DOI:10.31202/ecjse.1529228