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Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization, Hill Climbing and Distributed Genetic Algorithm for Node Placement Problem in WMNs: A Comparison Study2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)10.1109/AINA.2018.00103
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Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Exponential and Chi-Square Client DistributionsAdvances in Internet, Data and Web Technologies10.1007/978-3-030-12839-5_6
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Performance Evaluation of WMN-PSOSA Considering Exponential and Weibull DistributionsComplex, Intelligent, and Software Intensive Systems10.1007/978-3-319-93659-8_5
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A Comparison Study of CM and RIWM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh ClientsAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-030-84910-8_21
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An Integrated Simulation System Considering WMN-PSO Simulation System and Network Simulator 3Advances on Broad-Band Wireless Computing, Communication and Applications10.1007/978-3-319-49106-6_17
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Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Random Inertia Weight and Linearly Decreasing Vmax Router Replacement MethodsComplex, Intelligent, and Software Intensive Systems10.1007/978-3-030-22354-0_2
Conference
Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-SA and WMN-PSO Simulation Systems2016 19th International Conference on Network-Based Information Systems (NBiS)10.1109/NBiS.2016.31
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Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Weibull and Chi-square Client DistributionsAdvanced Information Networking and Applications10.1007/978-3-030-15032-7_31
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Performance Evaluation of WMNs by WMN-PSOSA System Considering Chi-square and Exponential Client DistributionsAdvanced Information Networking and Applications10.1007/978-3-030-15032-7_34
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A Load Balancing Aware Intelligent Hybrid Simulation System for WMNs Considering Different Number of Mesh Routers: A Comparison Study for Uniform and Exponential Distributions of Mesh ClientsComplex, Intelligent and Software Intensive Systems10.1007/978-3-030-50454-0_4
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Performance Evaluation of WMN-PSOSA Considering Four Different Replacement MethodsAdvances in Internet, Data & Web Technologies10.1007/978-3-319-75928-9_5
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Performance Evaluation of WMNs by WMN-PSOHC System Considering Random Inertia Weight and Linearly Decreasing Vmax Replacement MethodsAdvances in Networked-based Information Systems10.1007/978-3-030-29029-0_3
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Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Linearly Decreasing Inertia Weight and Linearly Decreasing Vmax Replacement MethodsAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-030-29035-1_2
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A Hybrid Intelligent Simulation System for Node Placement in WMNs Considering Chi-Square Distribution of Mesh Clients and Different Router Replacement MethodsAdvances in Internet, Data and Web Technologies10.1007/978-3-030-70639-5_2
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Performance Evaluation of WMN-PSODGA Hybrid Simulation System for Node Placement Problem Considering Normal Distribution and Different Fitness FunctionsAdvances in Internet, Data and Web Technologies10.1007/978-3-030-39746-3_11
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Implementation of an intelligent hybrid simulation systems for WMNs based on particle swarm optimization and simulated annealing: performance evaluation for different replacement methodsSoft Computing10.1007/s00500-017-2948-1
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A Hybrid Intelligent Simulation System for Node Placement in WMNs Considering Load Balancing: A Comparison Study for Exponential and Normal Distribution of Mesh ClientsAdvances on Broad-Band Wireless Computing, Communication and Applications10.1007/978-3-030-33506-9_50
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Performance Evaluation of WMNs by WMN-PSODGA Simulation System Considering Exponential Distribution of Mesh Clients and Different Router Replacement MethodsAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-030-57796-4_1
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A Comparison Study of LDIWM and LDVM Router Replacement Methods for WMNs by WMN-PSODGA Hybrid Simulation System Considering Boulevard Distribution of Mesh ClientsAdvances on P2P, Parallel, Grid, Cloud and Internet Computing10.1007/978-3-030-89899-1_12
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A Comparison Study of RIWM with RDVM and CM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh ClientsAdvances in Internet, Data & Web Technologies10.1007/978-3-030-95903-6_24
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A Comparison Study for Chi-Square and Uniform Client Distributions by WMN-PSOSA Simulation System for WMNsAdvances in Internet, Data and Web Technologies10.1007/978-3-030-12839-5_5
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A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and Uniform Distribution of Mesh ClientsAdvances in Network-Based Information Systems10.1007/978-3-319-98530-5_4
Conference
Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)10.1109/AINA.2016.42
Conference
Implementation of an Intelligent Hybrid Simulation System for Node Placement Problem in WMNs Considering Particle Swarm Optimization and Simulated Annealing2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)10.1109/AINA.2017.87
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Performance Analysis of WMN-PSOSA Simulation System for WMNs Considering Weibull and Chi-Square Client DistributionsAdvances on P2P, Parallel, Grid, Cloud and Internet Computing10.1007/978-3-030-02607-3_23
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Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Random Inertia Weight Method and Linearly Decreasing Vmax MethodAdvances on Broad-Band Wireless Computing, Communication and Applications10.1007/978-3-319-69811-3_10
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Performance Evaluation of WMNs for Normal and Uniform Distribution of Mesh Clients Using WMN-PSOSA Simulation SystemAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-319-98557-2_10
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Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Uniform Distribution of Mesh Clients and Different Router Replacement MethodsAdvances on P2P, Parallel, Grid, Cloud and Internet Computing10.1007/978-3-030-61105-7_40
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A Hybrid Intelligent Simulation System for Constructing IoT Networks: Performance Evaluation of WMN-PSODGA Simulation System Considering Different Router Replacement MethodsInternet of Things10.1016/j.iot.2020.100215
Conference
Performance Evaluation of WMN-PSODGA System for Node Placement Problem in WMNs Considering Four Different Crossover Methods2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)10.1109/AINA.2018.00126
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A Hybrid Intelligent Simulation System for Node Placement in WMNs: A Comparison Study of Chi-Square and Uniform Distributions of Mesh Clients for CM and LDVM Router Replacement MethodsAdvances in Networked-Based Information Systems10.1007/978-3-030-84913-9_11
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Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Load Balancing: A Comparison Study for Exponential and Weibull Distribution of Mesh ClientsAdvances in Networked-based Information Systems10.1007/978-3-030-29029-0_60
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Performance Behavior of WMN-PSODGA Simulation System for WMNs Considering Uniform and Chi-Square Client DistributionsAdvances on Broadband and Wireless Computing, Communication and Applications10.1007/978-3-030-02613-4_10
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Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight MethodsAdvances in Network-Based Information Systems10.1007/978-3-319-65521-5_1
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Investigation of Fitness Function Weight-Coefficients for Optimization in WMN-PSO Simulation System2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)10.1109/CISIS.2016.55
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Performance Analysis of Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs Considering Different Distributions of Mesh ClientsInnovative Mobile and Internet Services in Ubiquitous Computing10.1007/978-3-319-93554-6_3
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Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Vmax MethodsAdvances on P2P, Parallel, Grid, Cloud and Internet Computing10.1007/978-3-319-69835-9_10
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Performance Evaluation of WMNs by WMN-PSOHC System Considering Random Inertia Weight and Linearly Decreasing Inertia Weight Replacement MethodsInnovative Mobile and Internet Services in Ubiquitous Computing10.1007/978-3-030-22263-5_4
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A Comparison Study of Constriction and Random Inertia Weight Router Replacement Methods for WMNs Using WMN-PSODGA Hybrid Intelligent SystemWeb, Artificial Intelligence and Network Applications10.1007/978-3-030-44038-1_46
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Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization and Distributed Genetic AlgorithmAdvances in Internet, Data & Web Technologies10.1007/978-3-319-75928-9_7
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WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load BalancingInternational Journal of Distributed Systems and Technologies10.4018/IJDST.2020100103

Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario

Shinji Sakamoto, Algenti Lala, Tetsuya Oda, Vladi Kolici, Leonard Barolli, Fatos Xhafa

Source Title: International Journal of Mobile Computing and Multimedia Communications (IJMCMC)6(2)

ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781466655584|DOI: 10.4018/ijmcmc.2014040102

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MLA

Sakamoto, Shinji, et al. "Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario." IJMCMC vol.6, no.2 2014: pp.13-21. http://doi.org/10.4018/ijmcmc.2014040102

APA

Sakamoto, S., Lala, A., Oda, T., Kolici, V., Barolli, L., & Xhafa, F. (2014). Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 6(2), 13-21. http://doi.org/10.4018/ijmcmc.2014040102

Chicago

Sakamoto, Shinji, et al. "Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 6, no.2: 13-21. http://doi.org/10.4018/ijmcmc.2014040102

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Abstract

One of the key advantages of Wireless Mesh Networks (WMNs) is their importance for providing cost-efficient broadband connectivity. In WMNs, there are issues for achieving the network connectivity and user coverage, which are related with the node placement problem. In this work, the authors consider the router node placement problem in WMNs. The objective is to find the optimal distribution of router nodes in order to provide the best network connectivity (the maximal number of connected routers) and coverage (maximal number of covered clients). The authors apply their proposed WMN-SA simulation system in a realistic scenario of the distribution of mesh clients considering Itoshima City, Fukuoka Prefecture, Japan. From simulation results, they found many insights that can be very important for real deployment of WMNs.

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Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario

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