Particle Swarm Optimization for Dynamic Channel Allocation in IEEE 802.11 WLAN Networks: Minimizing Co-Channel Interference
Adil Soufi1, Jihad Chaker2, Ahmed Toukmati3, Abdelmoumen Kaabal4
1Adil Soufi, Professor, Department of Computer Science, Abdelmalek Essaadi University, Al Hoceima, Morocco.
2Jihad Chaker, Professor, Department of Computer Science, School of New Sciences and Engineering, Tangier, Morocco.
3Ahmed Toukmati, Professor, Department of Mathematics, Abdelmalek Essaadi University, Al Hoceima, Morocco.
4Abdelmoumen Kaabal, Professor, Department of Physics, Abdelmalek Essaadi University, Al Hoceima, Morocco.
Manuscript received on 30 March 2025 | First Revised Manuscript received on 07 April 2025 | Second Revised Manuscript received on 20 July 2025 | Manuscript Accepted on 15 August 2025 | Manuscript published on 30 August 2025 | PP: 28-33 | Volume-14 Issue-6, August 2025 | Retrieval Number: 100.1/ijeat.E464414050625 | DOI: 10.35940/ijeat.E4644.14060825
Open Access | Editorial and Publishing Policies | Cite | Zenodo | OJS | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper introduces a dynamic channel-assignment algorithm to minimize interference among Access Points (APs) in Wireless Local Area Networks (WLANs). The algorithm utilises Particle Swarm Optimisation (PSO) to efficiently optimise channel allocation, ensuring a positive Signal-to-Interference Ratio (SIR) and Signal-to-Noise Ratio (SNR) for all users, thereby guaranteeing reliable communication. The process commences with an initial channel assignment, followed by iterative refinement using PSO to reduce inter-AP interference. PSO is employed to accurately compute SIR and SNR values for each user, thereby providing a precise assessment of signal quality. Experimental results demonstrate substantial improvements in both SIR and network throughput, confirming the algorithm’s effectiveness in reducing interference. Furthermore, the proposed approach is adaptable to various WLAN scenarios, making it suitable for diverse user distributions and network loads, thereby ensuring wide-ranging applicability in real-world settings.
Keywords: Dynamic Channel Assignment, Wireless Local Area Network (WLAN), Access Points (APs), Interference Minimization, Particle Swarm Optimization (PSO), Signal-to-Interference Ratio (SIR), Signal-to-Noise Ratio (SNR), Network Throughput Optimization, Wireless Communication, Metaheuristic Optimization.
Scope of the Article: Network Performance