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


Kocağolu R., Calp M. H., AKCAYOL M. A.

El-Cezeri Journal of Science and Engineering, cilt.12, sa.2, ss.153-166, 2025 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 2
  • Basım Tarihi: 2025
  • Doi Numarası: 10.31202/ecjse.1529228
  • Dergi Adı: El-Cezeri Journal of Science and Engineering
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.153-166
  • Anahtar Kelimeler: Access Point Allocation, Channel Conflict, Genetic Algorithms, Optimization
  • Gazi Üniversitesi Adresli: Evet

Özet

In recent years, high-bandwidth and cost-effective wireless network technologies have emerged as a competition factor in the process of forming its 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 the access points is constituted by the distance between the access points and the communication channels used in the developed simulation. The experimental results obtained 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. We have obtained experimental results that the maximum coverage area is 1181.1 m, 1183.6 m and 1148 m, and bandwidth usage is 11, 54 and 248 mbps for 802.11b, 802.11g and 802.11n standards, respectively.