A hybrid intelligent system for wireless mesh networks: assessment of implemented system for two instances and three router replacement methods using Vmax parameter
by Shinji Sakamoto
International Journal of Web and Grid Services (IJWGS), Vol. 19, No. 3, 2023

Abstract: Wireless mesh networks (WMNs) are a good choice for internet of things (IoT) and edge computing due to their good scalability, robustness and maintainability. In this research work, we introduce a hybrid intelligent system that integrates particle swarm optimisation (PSO) and hill climbing (HC) called WMN-PSOHC. We assess the performance of WMN-PSOHC system for three different router replacement methods: the linearly decreasing Vmax method (LDVM), the rational decrement of Vmax method (RDVM), and the fast convergence RDVM (FC-RDVM) considering Vmax parameter. We consider two scenarios for small and middle scale WMNs which we call instances 1 and 2. The simulation results show that compared with LDVM and RDVM, the FC-RDVM performs better for both instances 1 and 2.

Online publication date: Mon, 18-Sep-2023

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