A Hybrid Firefly Algorithm and Particle Swarm Optimization Algorithm for Mesh Routers Placement Problem in Wireless Mesh Networks

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Taleb, SM
Meraihi, Y
Gabis, AB
Mirjalili, S
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2022
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Seoul, South Korea

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Abstract

This paper proposes the application of the recently proposed hybrid particle swarm optimization (PSO) and firefly algorithm (FA), called HFPSO, for solving the mesh routers placement problem in wireless mesh networks (WMNs). HFPSO combines the local search ability of FA and the fast convergence ability of PSO algorithm. The effectiveness of HFPSO was demonstrated using many generated instances in comparison with FA and PSO algorithms taking into account the metrics of user coverage and network connectivity. The results showed that HFPSO is more effective than FA and PSO in finding optimal mesh routers locations.

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Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications

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140

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Data structures and algorithms

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Taleb, SM; Meraihi, Y; Gabis, AB; Mirjalili, S, A Hybrid Firefly Algorithm and Particle Swarm Optimization Algorithm for Mesh Routers Placement Problem in Wireless Mesh Networks, Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022, 140, pp. 301-310