Performance Evaluation of CM and RIWM Router Replacement Methods for WMNs by WMN-PSOHC Hybrid Intelligent Simulation System Considering Chi-square Distribution of Mesh Clients

2021 ◽  
pp. 179-187
Author(s):  
Shinji Sakamoto ◽  
Yi Liu ◽  
Leonard Barolli ◽  
Shusuke Okamoto
Keyword(s):  
Performance Evaluation ◽  
Simulation System ◽  
Chi Square ◽  
Intelligent Simulation ◽  
Mesh Clients

A Hybrid Intelligent Simulation System for Constructing IoT Networks: Performance Evaluation of WMN-PSODGA Simulation System Considering Different Router Replacement Methods

2020 ◽  
Vol 11 ◽  
pp. 100215
Author(s):  
Ohara Seiji ◽  
Barolli Admir ◽  
Ampririt Phudit ◽  
Sakamoto Shinji ◽  
Matsuo Keita ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Simulation System ◽  
Intelligent Simulation

A web interface for WMN-PSODGA hybrid intelligent simulation system: performance evaluation for different mesh client distributions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Admir Barolli ◽  
Shinji Sakamoto
Keyword(s):  
Intelligent System ◽  
Research Work ◽  
Simulation System ◽  
Web Interface ◽  
Placement Problem ◽  
Content Type ◽  
Node Placement ◽  
Hybrid Intelligent System ◽  
Intelligent Simulation ◽  
Mesh Clients

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.

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