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WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing: A Comparison for Different Client Distributions

WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing: A Comparison for Different Client Distributions

Seiji Ohara, Ermioni Qafzezi, Admir Barolli, Shinji Sakamoto, Yi Liu, Leonard Barolli
Copyright: © 2020 |Volume: 11 |Issue: 4 |Pages: 14
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781799807100|DOI: 10.4018/IJDST.2020100103
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MLA

Ohara, Seiji, et al. "WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing: A Comparison for Different Client Distributions." IJDST vol.11, no.4 2020: pp.39-52. http://doi.org/10.4018/IJDST.2020100103

APA

Ohara, S., Qafzezi, E., Barolli, A., Sakamoto, S., Liu, Y., & Barolli, L. (2020). WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing: A Comparison for Different Client Distributions. International Journal of Distributed Systems and Technologies (IJDST), 11(4), 39-52. http://doi.org/10.4018/IJDST.2020100103

Chicago

Ohara, Seiji, et al. "WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing: A Comparison for Different Client Distributions," International Journal of Distributed Systems and Technologies (IJDST) 11, no.4: 39-52. http://doi.org/10.4018/IJDST.2020100103

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Abstract

Wireless mesh networks (WMNs) are becoming an important networking infrastructure because they have many advantages, such as low cost and increased high-speed wireless Internet connectivity. In the authors' previous work, they implemented a hybrid simulation system based on particle swarm optimization (PSO) and distributed genetic algorithm (DGA), called WMN-PSODGA. Moreover, they added to the fitness function a new parameter for mesh router load balancing a number of covered mesh clients per router (NCMCpR). In this article, the authors consider Exponential, Weibull, and Normal distributions of mesh clients and carry out a comparison study. The simulation results show that the performance of the Exponential, Weibull and Normal distributions was improved by considering load balancing when using WMN-PSODGA. For the same number of mesh clients, the Normal distribution behaves better than the other distributions. This is because all mesh clients are covered by a smaller number of mesh routers and the standard deviation is improved by effectively using NCMCpR.

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