A web interface for WMN-PSODGA hybrid intelligent simulation system: performance evaluation for different mesh client distributions
International Journal of Web Information Systems
ISSN: 1744-0084
Article publication date: 7 December 2021
Issue publication date: 2 February 2022
Abstract
Purpose
The purpose of this paper is to implement a web interface for a hybrid intelligent system. By using the implemented web interface, one can find optimal assignments of mesh routers in wireless mesh networks (WMNs). This study evaluates the implemented system considering three distributions of mesh clients to solve the node placement problem in WMNs.
Design/methodology/approach
The node placement problem in WMNs is well known to be a computationally hard problem. Therefore, intelligent algorithms are used for solving this problem. The implemented system is a hybrid intelligent system based on meta-heuristics algorithms: particle swarm optimization (PSO) and distributed genetic algorithm (DGA). The proposed system is called WMN-PSODGA.
Findings
This study carried out simulations using the implemented simulation system. From the simulations results, it was found that the WMN-PSODGA system performs better for chi-square distribution of mesh clients compared with Weibull and exponential distributions.
Research limitations/implications
For simulations, three different distributions of mesh clients were considered. In the future, other mesh client distributions, number of mesh nodes and communication distance need to be considered.
Originality/value
This research work, different from other research works, implemented a hybrid intelligent simulation system for WMNs. This study also implemented a web interface for the proposed system, which make the simulation system user-friendly.
Keywords
Citation
Barolli, A. and Sakamoto, S. (2022), "A web interface for WMN-PSODGA hybrid intelligent simulation system: performance evaluation for different mesh client distributions", International Journal of Web Information Systems, Vol. 18 No. 1, pp. 41-54. https://doi.org/10.1108/IJWIS-11-2021-0120
Publisher
:Emerald Publishing Limited
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