EN
Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection
Abstract
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.
Keywords
References
- [1] J. Lee, B. Han, H. J. Lim, Y. D. Kim, N. Saxena, and T. M. Chung, ‘‘Optimizing access point allocation using genetic algorithmic approach for smart home environments,’’ The Computer Journal, vol. 52, pp. 938–949, 2009.
- [2] T. Scully and K. Brown, ‘‘Wireless lan load-balancing with genetic algorithms,’’ Knowledge-Based Systems, vol. 22, pp. 529–534, 2009.
- [3] W. Yan, S. Xin-xin, and S. Yan-ming, ‘‘Study on application of genetic algorithms in the optimization of wireless network,’’ Procedia Engineering, vol. 16, pp. 348–355, 2011.
- [4] D. Pandey, R. Dhara, S. Bhunia, and S. Kundu, ‘‘Design and analysis of a compact millimeter-wave pentaband antenna for 5g fr-2 band wireless technologies,’’ International Journal of Electronics and Communications, vol. 184, 2024.
- [5] E. Oughton, G. Geraci, P. M., V. Shah, B. D., and S. Blue, ‘‘Reviewing wireless broadband technologies in the peak smartphone era: 6g versus wi-fi 7 and 8,’’ Telecommunications Policy, vol. 48, no. 6, 2024.
- [6] K. Guan, X. Guo, D. He, P. Svoboda, M. Berbineau, S. Wang, B. Ai, Z. Zhong, and M. Rupp, ‘‘Key technologies for wireless network digital twin towards smart railways,’’ High-speed Railway, vol. 2, no. 1, pp. 1–10, 2024.
- [7] H. J. Madi, ‘‘Areviewof newdevelopments in reliability and connectivity of wireless sensor technology over recent years.’’ in Comprehensive Materials Processing (Second Edition). Elsevier, 2024, p. 5700.
- [8] J. H. Lee, B. J. Han, H. K. Bang, and C. T-M., ‘‘An optimal access points allocation scheme based on genetic algorithm,’’ In Proceedings of IEEE Future Generation Communication and Networking, vol. 2, pp. 55–29, 2007.
Details
Primary Language
English
Subjects
Engineering Practice and Education (Other)
Journal Section
Research Article
Publication Date
May 1, 2025
Submission Date
August 7, 2024
Acceptance Date
March 28, 2025
Published in Issue
Year 2025 Volume: 12 Number: 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. El-Cezeri Journal of Science and Engineering. 2025;12(2):153-166. doi:10.31202/ecjse.1529228
Chicago
Kocaoğlu, Ramazan, M. Hanefi Calp, and 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 (May 1, 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, and M. A. Akcayol, “Optimizing Access Point Allocation Based on Genetic Algorithm with Channel Conflict Detection”, El-Cezeri Journal of Science and Engineering, vol. 12, no. 2, pp. 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 (May 1, 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. El-Cezeri Journal of Science and Engineering. 2025;12:153–166.
MLA
Kocaoğlu, Ramazan, et al. “Optimizing Access Point Allocation Based on Genetic Algorithm With Channel Conflict Detection”. El-Cezeri, vol. 12, no. 2, May 2025, pp. 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. El-Cezeri Journal of Science and Engineering. 2025 May 1;12(2):153-66. doi:10.31202/ecjse.1529228
