"Gateways Placement in Backbone Wireless Mesh Networks"
written by Maolin TANG,
published by International Journal of Communications, Network and System Sciences, Vol.2 No.1, 2009
has been cited by the following article(s):
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[1] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Exponential and Chi-Square Client Distributions
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[2] A Comparison Study for Chi-Square and Uniform Client Distributions by WMN-PSOSA Simulation System for WMNs
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[3] Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Random Inertia Weight and Linearly Decreasing Vmax Router Replacement …
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[4] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Weibull and Chi-square Client Distributions
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[5] Gateway Placement and Selection Solutions in WMNs: A Survey
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[6] Performance Evaluation of WMNs by WMN-PSOSA System Considering Chi-square and Exponential Client Distributions
2019
[7] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Load Balancing and Client Uniform Distribution
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[8] Performance Evaluation of WMNs by WMN-PSOHC System Considering Random Inertia Weight and Linearly Decreasing Inertia Weight Replacement Methods
2019
[9] Gateway Deployment in a Wireless Mesh Network for Load Balancing and Transmission Reduction
2018
[10] Performance analysis of two WMN architectures by WMN-GA simulation system considering different distributions and transmission rates
International Journal of Grid and Utility Computing, 2018
[11] Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization and Distributed Genetic Algorithm
Advances in Internet, Data & Web Technologies, 2018
[12] Performance analysis of WMNs by WMN-GA simulation system for two WMN architectures and different TCP congestion-avoidance algorithms and client distributions
International Journal of Communication Networks and Distributed Systems, 2018
[13] Performance Analysis of Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs Considering Different Distributions of …
Innovative Mobile and Internet Services in Ubiquitous Computing, 2018
[14] Performance Evaluation of WMN-PSOSA Considering Exponential and Weibull Distributions
Complex, Intelligent, and Software Intensive Systems, 2018
[15] Performance analysis of a genetic algorithm based system for wireless mesh networks considering exponential and weibull distributions, DCF and EDCA, and …
Journal of Ambient Intelligence and Humanized Computing, 2018
[16] Performance Evaluation of WMN-PSOSA Considering Four Different Replacement Methods
Advances in Internet, Data & Web Technologies, 2018
[17] Performance Behavior of WMN-PSODGA Simulation System for WMNs Considering Uniform and Chi-Square Client Distributions
Advances on Broadband and Wireless Computing, Communication and Applications, 2018
[18] Performance Evaluation of WMN-PSODGA System for Node Placement Problem in WMNs Considering Four Different Crossover Methods
2018
[19] The Aggregation Point Placement Problem for Power Distribution Systems
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[20] Performance Analysis of WMN-PSOSA Simulation System for WMNs Considering Weibull and Chi-Square Client Distributions
Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2018
[21] Performance Evaluation of WMNs for Normal and Uniform Distribution of Mesh Clients Using WMN-PSOSA Simulation System
Advances in Intelligent Networking and Collaborative Systems, 2018
[22] A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and …
Advances in Network-Based Information Systems, 2018
[23] Implementation of an intelligent hybrid simulation systems for WMNs based on particle swarm optimization and simulated annealing: performance evaluation for …
Soft Computing, 2017
[24] Performance Analysis by WMN-GA Simulation System for Different WMN Architectures Considering Exponential Distribution, Different Transmission Rates and OLSR …
2017
[25] A GA-based simulation system for WMNs: comparison analysis for different number of flows, client distributions, DCF and EDCA functions
Soft Computing, 2017
[26] A Study on Performance of Hill Climbing Heuristic Method for Router Placement in Wireless Mesh Networks
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[27] Performance analysis of a genetic algorithm based system for wireless mesh networks considering exponential and weibull distributions, DCF and EDCA, and different number of flows
Journal of Ambient Intelligence and Humanized Computing, 2017
[28] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Exponential Distribution, HWMP and TCP Protocols
2017
[29] Implementation of an Intelligent Hybrid Simulation System for Node Placement Problem in WMNs Considering Particle Swarm Optimization and Simulated Annealing
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[30] Performance Analysis by WMN-GA Simulation System for Different WMN Architectures Considering Exponential Distribution, Different Transmission Rates and OLSR …
2017
[31] Performance analysis of different architectures and TCP congestion-avoidance algorithms using WMN-GA simulation system
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[32] Performance Evaluation of WMN-PSOHC and WMN-PSO Simulation Systems for Node Placement in Wireless Mesh Networks: A Comparison Study
Advances in Internetworking, Data & Web Technologies, 2017
[33] A GA-Based Simulation System for WMNs: A Comparison Study for Different WMN Architectures Considering Exponential and Weibull Distributions, HWMP and TCP …
Advances in Network-Based Information Systems, 2017
[34] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Weibull Distribution, HWMP and TCP Protocols
Complex, Intelligent, and Software Intensive Systems, 2017
[35] Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight Methods
Advances in Network-Based Information Systems, 2017
[36] Performance Evaluation of Intelligent Hybrid Systems for Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-PSOHC and WMN-PSOSA
Innovative Mobile and Internet Services in Ubiquitous Computing, 2017
[37] Implementation of Intelligent Hybrid Systems for Node Placement Problem in WMNs Considering Particle Swarm Optimization, Hill Climbing and Simulated Annealing
Mobile Networks and Applications, 2017
[38] Performance Analysis of WMNs by WMN-GA Simulation System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms Considering Exponential …
Innovative Mobile and Internet Services in Ubiquitous Computing, 2017
[39] Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Random Inertia Weight Method and Linearly Decreasing Vmax Method
Advances on Broad-Band Wireless Computing, Communication and Applications, 2017
[40] Wireless Network Gateway Placement by Evolutionary Graph Clustering
Neural Information Processing, 2017
[41] Performance analysis of two Wireless Mesh Network architectures by WMN-SA and WMN-TS simulation systems
Journal of High Speed Networks, 2017
[42] Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Vmax Methods
Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2017
[43] Performance analysis of mesh portal points placement schemes for Rural Settlement Patterns
2016
[44] Performance Analysis of WMN-GA System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms
2016
[45] A GA-Based Simulation System for WMNs: Performance Analysis of WMN-GA System for Different WMN Architectures and Uniform Distribution Considering DCF and …
2016
[46] Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation
2016
[47] Implementation and evaluation of a simulation system based on particle swarm optimisation for node placement problem in wireless mesh networks
International Journal of Communication Networks and Distributed Systems, 2016
[48] An Integrated Simulation System Considering WMN-PSO Simulation System and Network Simulator 3
Advances on Broad-Band Wireless Computing, Communication and Applications, 2016
[49] Performance Evaluation of WMN-GA System in Node Placement in WMNs for Different Distributions of Mesh Clients and Different Selection and Mutation Operators
Informatica, 2016
[50] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Uniform Distribution, Transmission Rate and OLSR …
Advances on Broad-Band Wireless Computing, Communication and Applications, 2016
[51] Comparison Analysis by WMN-GA Simulation System for Different WMN Architectures, Normal and Uniform Distributions, DCF and EDCA Functions
Advances on Broad-Band Wireless Computing, Communication and Applications, 2016
[52] Optimizing Gateway Placement in Wireless Mesh Network using Genetic Algorithm and Simulated Annealing
2016
[53] Comparison Analysis by WMN-GA Simulation System for Different WMN Architectures, Distributions and Routing Protocols Considering TCP
Advances on Broad-Band Wireless Computing, Communication and Applications, 2016
[54] Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-SA and WMN-PSO Simulation Systems
2016
[55] Performance Analysis of a Genetic Algorithm Based System for Wireless Mesh Networks Considering Weibull Distribution, DCF and EDCA
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[56] A GA-based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Transmission Rate and OLSR Protocol
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[57] Performance Analysis of WMNs by WMN-GA Simulation System for Exponential Distribution Considering EDCA and DCF
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[58] Performance Analysis of WMNs by WMN-GA Simulation System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms Considering Uniform …
2016
[59] A GA-Based Simulation System for WMNs: Performance Analysis of WMN-GA System for Different WMN Architectures and Uniform Distribution Considering DCF and …
2016
[60] Performance analysis of WMNs by WMN-GA simulation system for different WMN architectures and TCP congestion-avoidance algorithms considering uniform …
2016
[61] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Uniform Distribution, Transmission Rate and OLSR …
Advances on Broad-Band Wireless Computing, Communication and Applications, 2016
[62] Investigation of Fitness Function Weight-Coefficients for Optimization in WMN-PSO Simulation System
2016
[63] MINIMIZING OVERHEAD IN CORE ASSISTED MESH PROTOCOL USING ROUTING PROTOCOL
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[64] A GA-based simulation system for WMNs: performance analysis for different WMN architectures considering transmission rate and OLRS protocol
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[65] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering TCP and OLSR Protocols
2015
[66] Analysis of Node Placement in Wireless Mesh Networks Using Friedman Test: A Comparison Study for Genetic Algorithms and Hill Climbing
2015
[67] Performance Analysis of WMN-GA Simulation System for Different WMN Architectures Considering OLSR
2015
[68] A genetic algorithm-based system for wireless mesh networks: analysis of system data considering different routing protocols and architectures
Soft Computing, 2015
[69] A Study on Performance of Hill Climbing for Router Placement in Wireless Mesh Networks
2015
[70] Optimization of Giant Component and Number of Covered Users in Wireless Mesh Networks: A Comparison Study
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[71] Application of WMN-SA Simulation System for WMN Node Placement in a Realistic Scenario
2015 IEEE 29th International Conference on Advanced Information Networking and Applications (AINA), 2015
[72] Analysis of WMN-HC Simulation System Data Using Friedman Test
Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on, 2015
[73] Interface and results visualization of WMN-GA simulation system: Evaluation for Exponential and Weibull distributions considering different transmission rates
Computer Standards & Interfaces, 2015
[74] A web interface for wireless mesh networks based on heuristic algorithms: optimisation and analysis for different scenarios
International Journal of Web and Grid Services, 2015
[75] L-MODEL MANAGEMENT FOR WIRELESS MESH DEPLOYMENT
International Journal of Industrial Electronics and Electrical Engineering, 2015
[76] Analysis of mesh router placement in wireless mesh networks using Friedman test considering different meta-heuristics
International Journal of Communication Networks and Distributed Systems, 2015
[77] Design and Implementation of a Simulation System Based on Particle Swarm Optimization for Node Placement Problem in Wireless Mesh Networks
Intelligent Networking and Collaborative Systems (INCOS), 2015 International Conference on, 2015
[78] A Genetic Approach for Gateway Placement in Wireless Mesh Networks
IJCSNS, 2015
[79] ATM based WMN architecture for Distributed Generation systems in electrical networks
Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on, 2015
[80] Analysis of Node Placement in Wireless Mesh Networks Using Friedman Test: A Comparison Study for Tabu Search and Hill Climbing
2015
[81] Application of WMN-SA Web Interface and NS-3 for Optimization and Analysis in WMNs Considering Different Number of Mesh Routers and Architectures
2015
[82] A PSO-based Simulation System for Node Placement in Wireless Mesh Networks: Evaluation Results for Different Replacement Methods
2015
[83] Friedman Test for Analysing WMNs: A Comparison Study for Genetic Algorithms and Simulated Annealing
2015
[84] Performance Analysis of WMN-GA Simulation System for Different WMN Architectures and Routing Protocols Considering Weibull Distribution
2015
[85] A GA-Based Simulation System for WMNs: Performance Analysis of WMN-GA System for Different WMN Architectures Considering DCF and EDCA
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[86] Performance Analysis of WMN-GA Simulation System for Different WMN Architectures and Routing Protocols Considering Exponential Distribution
2015
[87] Application of WMN-HC Web Interface and NS-3 for Optimization and Analysis in WMNs Considering Different Number of Mesh Routers and Architectures
2015
[88] Analysis of WMN-GA Simulation Results: Optimization of Number of Mesh Routers Considering Exponential and Weibull Distributions of Mesh Clients
2014
[89] Performance Evaluation of WMN-HC System for Different Number of Mesh Clients and Mesh Routers
2014
[90] Analysis of Mesh Router Node Placement Using WMN-GA System Considering Different Architectures of WMNs
2014
[91] Performance Analysis of WMN-SA: Node Placement Problem Using Simulated Annealing Algorithm for Different Replacement Methods
2014
[92] Analysis of WMN-GA Simulation System Results: A Comparison Study for Node Placement in WMNs Considering Exponential and Weibull Distributions and Different …
2014
[93] Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario
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[94] Analysis of WMN-GA Simulation System Results: A Comparison Study for Node Placement in WMNs Considering Exponential and Weibull Distributions and Different Transmission Rates
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[95] Effect of different grid shapes in wireless mesh network-genetic algorithm system
International Journal of Web and Grid Services, 2014
[96] A GA-based simulation system for wmns: performance analysis for different wmn architectures considering tcp
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[97] Node Placement in WMNs using WMN-GA System Considering Uniform and Normal Distribution of Mesh Clients
T Oda, S Sakamoto, E Spaho, A Barolli, L Barolli… - ieeexplore.ieee.org, 2014
[98] Analysis of Mesh Router Placement in Wireless Mesh Networks Using Friedman Test
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[99] Analysis of WMN-GA Simulation Results: WMN Performance Considering Stationary and Mobile Scenarios
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[100] Router Node Placement With Service Priority in Wireless Mesh Networks Using Simulated Annealing With Momentum Terms
CC Lin, L Shu, DJ Deng - ieeexplore.ieee.org, 2014
[101] Node Placement in WMNs Using WMN-HC System and Different Movement Methods
Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on. IEEE, 2014., 2014
[102] WMN-GA for Node Placement in WMN: Evaluation and Visualization using HotSpot Ad-hoc Method
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[103] Performance evaluation of WMN-GA system for different settings of population size and number of generations
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[104] Effect of different grid shapes in wireless mesh network–genetic algorithm system
International Journal of Web and Grid Services, 2014
[105] WMN-SA System for Node Placement in WMNs: Evaluation for Different Realistic Distributions of Mesh Clients
Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on. IEEE, 2014., 2014
[106] Performance evaluation considering iterations per phase and SA temperature in WMN-SA system
Mobile Information Systems, 2014
[107] Effects of population size for location-aware node placement in WMNs: evaluation by a genetic algorithm--based approach
Personal and ubiquitous computing, 2014
[108] Evaluation of Effects of Grid Shape in WMN-SA System for Solution of Node Placement Problem in WMNs
S Sakamoto, T Oda, E Kulla, F Xhafa, M Ikeda, L Barolli - ieeexplore.ieee.org, 2014
[109] A simulation system for WMN based on SA: performance evaluation for different instances and starting temperature values
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[110] Solving Mesh Router Nodes Placement Problem in Wireless Mesh Networks by Tabu Search Algorithm
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[111] Node placement for wireless mesh networks: Analysis of WMN-GA system simulation results for different parameters and distributions
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[112] Optimization of Number of Mesh Routers in WMNs Using WMN-SA System Considering Uniform Distribution for Different Number of Mesh Clients
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[113] Analysis of WMN-SA andWMN-GA Simulation Results: A Comparison Performance for Wireless Mesh Networks
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[114] Node Placement in WMNs for Different Movement Methods: A Hill Climbing System Considering Exponential and Weibull Distributions
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[115] Performance Evaluation of WMNs Using Simulated Annealing Algorithm Considering Different Number Iterations per Phase and Normal Distribution
Information Technology Convergence. Springer Netherlands, 2013., 2013
[116] WMN-GA System for Node Placement in WMNs: Effect of Grid Shape
Information Technology Convergence. Springer Netherlands,?, 2013
[117] Analysis of WMN-GA Simulation Results: WMN Performance Considering Hot-Spot Scenario
Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on. IEEE, 2013
[118] Planning the deployment of fault-tolerant wireless sensor networks
2013
[119] Node Placement in WMNs: Performance Evaluation of WMN-GA System for Weibull and Exponential Distribution of Mesh Clients
Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on. IEEE, 2013., 2013
[120] Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Normal Distribution of Mesh Clients and Different Selection and Mutation Operators
Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on. IEEE, 2013., 2013
[121] Performance Evaluation of Mesh Router Node Placement Using Simulated Annealing Considering Exponential and Weibull Distributions
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[122] Performance Analysis of WMNs Using Hill Climbing Algorithm Considering Different Iterations per Phase
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[123] Analysis of WMN-GA Simulation Results: WMN Performance Optimizing the Number of Mesh Routers
Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on. IEEE, 2013
[124] WMN-GA System for Node Placement in WMNs: Performance Evaluation for Weibull Distribution of Mesh Clients
Information Technology Convergence. Springer Netherlands,, 2013
[125] Performance Evaluation of WMNs Using Hill Climbing Algorithm Considering Giant Component and Different Distributions
Information Technology Convergence. Springer Netherlands, 2013, 2013
[126] Zero-Degree algorithm for Internet GateWay placement in backbone wireless mesh networks
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[127] A Comparison Study of GA and HC for Mesh Router Node Placement in Wireless Mesh Networks
Network-Based Information Systems (NBiS), 2013 16th International Conference on. IEEE, 2013
[128] Performance Comparison for Different Communication Distances of Mesh Routers in WMN-SA Simulation System
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on. IEEE, 2013., 2013
[129] Gateway placement approaches in Wireless Mesh Network: Study survey
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[130] A comparison study of simulated annealing and genetic algorithm for node placement problem in wireless mesh networks
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[131] Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Exponential and Weibull Distribution of Mesh Clients and Different Selection and Mutation Operators
Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on. IEEE, 2013., 2013
[132] Performance Evaluation of WMN-GA System for Node Placement in WMNs for Normal and Uniform Distributions of Mesh Clients Considering Different Grid Shapes
Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on. IEEE, 2013., 2013
[133] Internet Gateway Placement Optimization in Wireless Mesh Networks
Internet of Things, Smart Spaces, and Next Generation Networking. Springer Berlin Heidelberg,, 2013
[134] WMN–GA: a simulation system for WMNs and its evaluation considering selection operators
Journal of Ambient Intelligence and humanized Computing, 2013
[135] Performance analysis of WMNs using simulated annealing algorithm for different temperature values
2013
[136] Mesh Router Node Placement in Wireless Mesh Networks Considering Different Initial Router Placement Methods
2013
[137] Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Exponential and Weibull Distribution of Mesh Clients and Different Selection …
2013
[138] Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Normal Distribution of Mesh Clients and Different Selection and Mutation …
2013
[139] Performance Evaluation of WMN-GA for Wireless Mesh Networks Considering Mobile Mesh Clients
2013
[140] Effects of selection operators for mesh router placement in wireless mesh networks considering weibull distribution of mesh clients
2013
[141] Performance Comparison of a WMN-SA System for Different Distributions of Mesh Clients
2013
[142] A Comparison Study of Simulated Annealing and Genetic Algorithm for Node Placement Problem in Wireless Mesh Networks.
2013
[143] Local search methods for efficient router nodes placement in wireless mesh networks.
2012
[144] Study of Wireless Mesh Networks and WMN Architecture
International Journal of Engineering Innovation & Research, 2012
[145] Evaluation of WMN-GA for different mutation operators
International Journal of Space-Based and Situated Computing, 2012
[146] A study on the effect of mutation in genetic algorithms for mesh router placement in wireless mesh networks
International Journal of Computer Systems Science & Engineering, 2012
[147] Grad. Sch. of Eng., Fukuoka Inst. of Technol.(FIT), Fukuoka, Japan
Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on. IEEE, 2012, 2012
[148] Gateway placement optimisation problem for mobile multicast design in Wireless Mesh Networks
Computer and Communication Engineering (ICCCE), 2012 International Conference on. IEEE, 2012., 2012
[149] Local search methods for efficient router nodes placement in wireless mesh networks
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[150] Performance evaluation of WMN-GA for different mutation and crossover rates considering number of covered users parameter
Mobile Information Systems, 2012
[151] Performance Evaluation of WMN-GA Simulation System for Different Settings of Genetic Operators Considering Giant Component and Number of Covered Users
International Journal of Distributed Systems and Technologies (IJDST)?, 2012
[152] A Comparison Study for Different Settings of Crossover and Mutation Rates Using WMN-GA Simulation System
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[153] Performance Evaluation of WMN-GA System for Dense Networks Considering Different Distributions
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[154] An Interface for Simulating Node Placement in Wireless Mesh Networks
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[155] Evolutionary placement of continuously operating reference stations of Network Real-Time Kinematic
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[156] Visualization of Evolutionary Computation Process for Node Placement in WMNs Considering Weibull and Exponential Distribution of Mesh Clients
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[157] Node Placement in WMNs and Visualization of Evolutionary Computation Process Using WMN-GA System
Network-Based Information Systems (NBiS), 2012 15th International Conference on. IEEE, 2012., 2012
[158] A study on the performance of local search versus population-based methods for mesh router nodes placement problem
Journal of Intelligent Manufacturing, 2012
[159] Performance evaluation of WMN-GA system for low densities of clients and different settings of population size
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on. IEEE, 2012., 2012
[160] Dept. of Comput. & Inf. Sci., Seikei Univ., Musashino, Japan
Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on. IEEE, 2012
[161] Effect of Population Size for Node Placement in WMNs Considering Giant Component and Number of Covered Users Parameters
Advanced Information Networking and Applications (AINA), 2012 IEEE 26th International Conference on. IEEE, 2012
[162] Evaluation of WMN–GA for different mutation operators
International Journal of Space-Based and Situated Computing, 2012
[163] Dept. of Inf. & Commun. Eng., Fukuoka Inst. of Technol.(FIT), Fukuoka, Japan
Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on. IEEE, 2012
[164] Effects of Mutation and Crossover in Genetic Algorithms for Node Placement in WMNs Considering Number of Covered Users Parameter
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on. IEEE, 2011
[165] Effects of Mutation and Crossover in Genetic Algorithms for Node Placement in WMNs Considering Giant Component Parameter
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2011 International Conference on. IEEE, 2011
[166] EVALUATION OF WMN-GA FOR DIFFERENT MUTATION AND CROSSOVER RATES CONSIDERING GIANT COMPONENT PARAMETER
Journal of Interconnection Networks, 2011
[167] A GA-based System for WMN and its Performance Evaluation for Different Scenarios
Complex, Intelligent and Software Intensive Systems (CISIS), 2011 International Conference on. IEEE, 2011
[168] Performance evaluation for different settings of crossover and mutation rates considering number of covered users: a case study
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia. ACM, 2011., 2011
[169] A simulated annealing algorithm for router nodes placement problem in Wireless Mesh Networks
Simulation Modelling Practice and Theory, 2011
[170] Wireless mesh networks: WMN overview, WMN architecture
International Conference on Communication Engineering and Networks IPCSIT.?, 2011
[171] A study on the effect of mutation in genetic algorithms for mesh router placement problem in wireless mesh networks
Complex, Intelligent and Software Intensive Systems (CISIS), 2011 International Conference on. IEEE, 2011
[172] A study on the performance of search methods for mesh router nodes placement problem
Advanced Information Networking and Applications (AINA), 2011 IEEE International Conference on. IEEE, 2011
[173] A Tabu Search Algorithm for Efficient Node Placement in Wireless Mesh Networks
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on. IEEE, 2011
[174] Optimization problems and resolution methods for node placement in wireless mesh networks
Network-Based Information Systems (NBiS), 2011 14th International Conference on. IEEE, 2011., 2011
[175] Performance evaluation of WMN using WMN-GA system for different mutation operators
2011
[176] Genetic algorithms for efficient placement of router nodes in wireless mesh networks
Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on. IEEE, 2010., 2010
[177] An annealing approach to router nodes placement problem in wireless mesh networks
Complex, Intelligent and Software Intensive Systems (CISIS), 2010 International Conference on. IEEE, 2010
[178] Evaluation of genetic algorithms for mesh router nodes placement in wireless mesh networks
Journal of Ambient Intelligence and Humanized Computing, 2010
[179] Tuning Operators of Genetic Algorithms for Mesh Routers Placement Problem in Wireless Mesh Networks
Broadband, Wireless Computing, Communication and Applications (BWCCA), 2010 International Conference on. IEEE, 2010., 2010
[180] Ad hoc and neighborhood search methods for placement of mesh routers in wireless mesh networks
Distributed Computing Systems Workshops, 2009. ICDCS Workshops' 09. 29th IEEE International Conference on. IEEE, 2009
[181] Locals search algorithms for efficient router nodes placement in wireless mesh networks
Network-Based Information Systems, 2009. NBIS'09. International Conference on. IEEE, 2009., 2009
[182] Minimum-cost implementation of traffic information system over wireless mesh network
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[183] Minimum-Cost Implementation of Traffic Information System over Wireless Mesh Network.
2009