Performance Comparison of Constriction and Linearly Decreasing Inertia Weight Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Chi-Square Distribution of Mesh Clients

2021 ◽  
pp. 93-103
Author(s):  
Admir Barolli ◽  
Shinji Sakamoto ◽  
Phudit Ampririt ◽  
Seiji Ohara ◽  
Leonard Barolli ◽  
...  
Keyword(s):  
Hybrid Simulation ◽  
Performance Comparison ◽  
Simulation System ◽  
Chi Square ◽  
Inertia Weight ◽  
Mesh Clients

scholarly journals A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using WMN-PSODGA hybrid intelligent simulation system

2021 ◽  
pp. 1-16
Author(s):  
Admir Barolli ◽  
Kevin Bylykbashi ◽  
Ermioni Qafzezi ◽  
Shinji Sakamoto ◽  
Leonard Barolli ◽  
...  
Keyword(s):  
Load Balancing ◽  
Uniform Distribution ◽  
Simulation System ◽  
Placement Problem ◽  
Chi Square ◽  
Node Placement ◽  
Inertia Weight ◽  
Uniform Distributions ◽  
Weight Method ◽  
Mesh Clients

Wireless Mesh Networks (WMNs) are gaining a lot of attention from researchers due to their advantages such as easy maintenance, low upfront cost and high robustness. Connectivity and stability directly affect the performance of WMNs. However, WMNs have some problems such as node placement problem, hidden terminal problem and so on. In our previous work, we implemented a simulation system to solve the node placement problem in WMNs considering Particle Swarm Optimization (PSO) and Distributed Genetic Algorithm (DGA), called WMN-PSODGA. In this paper, we compare chi-square and uniform distributions of mesh clients for different router replacement methods. The router replacement methods considered are Constriction Method (CM), Random Inertia Weight Method (RIWM), Linearly Decreasing Inertia Weight Method (LDIWM), Linearly Decreasing Vmax Method (LDVM) and Rational Decrement of Vmax Method (RDVM). The simulation results show that for chi-square distribution the mesh routers cover all mesh clients for all router replacement methods. In terms of load balancing, the method that achieves the best performance is RDVM. When using the uniform distribution, the mesh routers do not cover all mesh clients, but this distribution shows good load balancing for four router replacement methods, with RIWM showing the best performance. The only method that shows poor performance for this distribution is LDIWM. However, since not all mesh clients are covered when using uniform distribution, the best scenario is chi-square distribution of mesh clients with RDVM as a router replacement method.

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