EN
Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection
Öz
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.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik Uygulaması ve Eğitim (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
1 Mayıs 2025
Gönderilme Tarihi
7 Ağustos 2024
Kabul Tarihi
28 Mart 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 12 Sayı: 2
APA
Kocaoğlu, R., Calp, M. H., & Akcayol, M. A. (2025). Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection. El-Cezeri, 12(2), 153-166. https://doi.org/10.31202/ecjse.1529228
AMA
1.Kocaoğlu R, Calp MH, Akcayol MA. Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection. ECJSE. 2025;12(2):153-166. doi:10.31202/ecjse.1529228
Chicago
Kocaoğlu, Ramazan, M. Hanefi Calp, ve M. Ali Akcayol. 2025. “Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection”. El-Cezeri 12 (2): 153-66. https://doi.org/10.31202/ecjse.1529228.
EndNote
Kocaoğlu R, Calp MH, Akcayol MA (01 Mayıs 2025) Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection. El-Cezeri 12 2 153–166.
IEEE
[1]R. Kocaoğlu, M. H. Calp, ve M. A. Akcayol, “Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection”, ECJSE, c. 12, sy 2, ss. 153–166, May. 2025, doi: 10.31202/ecjse.1529228.
ISNAD
Kocaoğlu, Ramazan - Calp, M. Hanefi - Akcayol, M. Ali. “Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection”. El-Cezeri 12/2 (01 Mayıs 2025): 153-166. https://doi.org/10.31202/ecjse.1529228.
JAMA
1.Kocaoğlu R, Calp MH, Akcayol MA. Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection. ECJSE. 2025;12:153–166.
MLA
Kocaoğlu, Ramazan, vd. “Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection”. El-Cezeri, c. 12, sy 2, Mayıs 2025, ss. 153-66, doi:10.31202/ecjse.1529228.
Vancouver
1.Ramazan Kocaoğlu, M. Hanefi Calp, M. Ali Akcayol. Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection. ECJSE. 01 Mayıs 2025;12(2):153-66. doi:10.31202/ecjse.1529228


