A Comparison Study of LDIWM and LDVM Router Replacement Methods for WMNs by WMN-PSODGA Hybrid Simulation System Considering Boulevard Distribution of Mesh Clients

2021 ◽  
pp. 116-128
Author(s):  
Peng Xu ◽  
Admir Barolli ◽  
Phudit Ampririt ◽  
Shinji Sakamoto ◽  
Elis Kulla ◽  
...  
Keyword(s):  
Hybrid Simulation ◽  
Simulation System ◽  
Comparison Study ◽  
Mesh Clients

WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing

2020 ◽  
Vol 11 (4) ◽  
pp. 39-52
Author(s):  
Seiji Ohara ◽  
Ermioni Qafzezi ◽  
Admir Barolli ◽  
Shinji Sakamoto ◽  
Yi Liu ◽  
...  
Keyword(s):  
Load Balancing ◽  
High Speed ◽  
Mesh Networks ◽  
Fitness Function ◽  
Low Cost ◽  
Hybrid Simulation ◽  
Simulation System ◽  
Wireless Internet ◽  
Normal Distributions ◽  
Mesh Clients

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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