Title: A hybrid intelligent system for wireless mesh networks: assessment of implemented system for two instances and three router replacement methods using V_max parameter

Authors: Shinji Sakamoto

Addresses: Department of Information and Computer Science, Kanazawa Institute of Technology, 7-1 Ohgigaoka, Nonoichi, Ishikawa, 921-8501, Japan

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 V_max method (LDVM), the rational decrement of V_max method (RDVM), and the fast convergence RDVM (FC-RDVM) considering V_max 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.

Keywords: wireless mesh networks; WMNs; internet of things; IoT; hybrid intelligent system; replacement methods; V_max parameter.

DOI: 10.1504/IJWGS.2023.133509

International Journal of Web and Grid Services, 2023 Vol.19 No.3, pp.389 - 400

Received: 31 May 2023
Accepted: 18 Jul 2023
Published online: 18 Sep 2023 *

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