International Journal of Communications, Network and System Sciences

International Journal of Communications, Network and System Sciences

ISSN Print: 1913-3715
ISSN Online: 1913-3723
www.scirp.org/journal/ijcns
E-mail: ijcns@scirp.org
"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] A load-balanced algorithm for Internet Gateway placement in Backbone Wireless Mesh Networks
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[2] Analysis of multimedia network data security based on routing algorithm
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[3] Performance Evaluation of FC-RDVM and LDIWM Router Replacement Methods for Small and Middle Scale WMNs Considering UNDX-M Crossover Method and …
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[4] Performance Evaluation of BLX- Crossover Method for Different Instances of WMNs Considering FC-RDVM Router Replacement Method and Subway Distribution of …
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[5] Performance Evaluation of FC-RDVM and RIWM Methods for WMNs by WMN-PSOHCDGA System Considering Different Instances and Subway Distribution
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[6] Performance evaluation of six mesh router replacement methods for wireless mesh networks: A comparison study for small and middle scale networks considering two …
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[7] A Comparison Study of LDVM and RDVM Router Replacement Methods by WMN-PSODGA Hybrid Simulation System Considering Two Islands Distribution of Mesh …
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[8] Comparison Study Between UNDX-m and SPX Crossover Methods
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[9] Performance Evaluation of FC-RDVM and LDIWM Router Placement Methods for WMNs by WMN-PSODGA Hybrid Simulation System Considering Load Balancing …
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[11] Assessment of FC-RDVM and RIWM Router Replacement Methods for WMNs Considering Load Balancing Among Mesh Routers and Chi-Square Mesh Client …
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[12] Assessment of Four Mesh Router Replacement Methods for Small and Middle Scale Wireless Mesh Networks Considering Two Islands Distribution of Mesh Clients
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[13] Implementation of FC-RDVM in WMN-PSOHCDGA System Considering Two Islands Distribution of Mesh Clients: A Comparison Study of FC-RDVM and RDVM …
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[14] Performance Evaluation of FC-RDVM Router Replacement Method for Different Instances of WMNs Considering Subway Distribution: A Comparison Study Between …
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[15] Assessment of RIWM and FC-RDVM for Small and Middle Scale WMNs Considering Stadium Distribution and UNDX-M Crossover Method
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[16] A Comparison Study of UNDX and UNDX-m Methods for LDVM and RDVM Router Replacement Methods by WMN-PSODGA Hybrid Intelligent System Considering …
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[17] Design and Implementation of a Platform for MOAP Robots
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[18] Performance Comparison of Roulette Wheel and Random Selection Methods by WMN-PSODGA Simulation System Considering Stadium Distribution and LDIWM
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[19] A Comparison Study of RIWM with RDVM and CM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients
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[20] Mesh Routers Placement by WMN-PSODGA Simulation System: Effect of Number of Mesh Routers Considering Stadium Distribution and RDVM Method
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[21] Performance Evaluation of Chi-Square and Normal Distributions of Mesh Clients for WMNs Considering Five Router Replacement Methods
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[22] Mesh Routers Placement by WMN-PSODGA Hybrid Intelligent System Considering Stadium Distribution and RDVM: A Comparison Study for Different Crossover …
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[23] Mesh routers placement by WMN-PSODGA simulation system considering stadium distribution and RDVM: a comparison study for UNDX and UNDX-M methods
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[24] Nodes placement in wireless mesh networks using optimization approaches: a survey
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[25] Traffic-aware Gateway Placement and Queue Management in Flying Networks
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[26] A Simulation System for Optimal Positions of MOAP Robots Using Elbow and Silhouette Theories: Simulation Results Considering Minimum Transmission Power of …
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[27] Design and Implementation of a Control Interface for Indoor Position Detection of Moving Omnidirectional Access Point Robot Using Super Sonic Signals
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[28] A Comparison Study of LDIWM and LDVM Router Replacement Methods for WMNs by WMN-PSODGA Hybrid Simulation System Considering Boulevard Distribution …
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[29] Performance Comparison of Constriction and Linearly Decreasing Inertia Weight Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation …
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[30] Performance evaluation of wmns by wmn-psosa-dga hybrid simulation system considering stadium distribution of mesh clients and different number of mesh routers
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[31] Router and gateway node placement in wireless mesh networks for emergency rescue scenarios
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[32] A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using wmn-psodga hybrid intelligent …
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[33] 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 …
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[34] Implementation of an Indoor Position Detecting System Using Mean BLE RSSI for Moving Omnidirectional Access Point Robot
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[35] A Comparison Study of Chi-square and Uniform Distributions of Mesh Clients by WMN-PSODGA Simulation System for RIWM and LDIWM Router Replacement …
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[36] A Comparison Study of Linearly Decreasing Inertia Weight Method and Rational Decrement of Vmax Method for WMNs Using WMN-PSOHC Intelligent System …
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[37] Performance Analysis of RIWM and LDVM Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Stadium …
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[38] A Comparison Study of CM and RIWM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients
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[39] Performance Evaluation of RIWM and LDVM Router Replacement Methods for WMNs by WMN-PSOSA-DGA Considering Chi-Square Distribution
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[40] Systematic Review of Resource Allocation Methods Using Scheduling for M2M (Machine to Machine Communication) in IoT Network
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[41] Implementation of a Simulation System for Optimal Number of MOAP Robots Using Elbow and Silhouette Theories in WMNs
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[42] Performance Comparison of Constriction and Linearly Decreasing Inertia Weight Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid …
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[43] A Comparison Study of Linearly Decreasing Inertia Weight Method and Rational Decrement of Vmax Method for WMNs Using WMN-PSOHC Intelligent …
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[44] A Hybrid Intelligent Simulation System for Node Placement in WMNs Considering Chi-Square Distribution of Mesh Clients and Different Router Replacement Methods
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[45] Distance Aware Gateway Placement Optimization for Machine-to-Machine (M2M) Communication in IoT Network
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[46] Traffic-aware gateway placement for high-capacity flying networks
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[47] Enabling interoperability between MAC-heterogeneous sensor networks
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[48] Performance Comparison of CM and RDVM Router Replacement Methods for WMNs by WMN-PSOHC Hybrid Simulation System Considering Normal Distribution of …
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[49] Admir Barolli1, Shinji Sakamoto2, BPhudit Ampririt3, Seiji Ohara3
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[50] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Uniform Distribution of Mesh Clients and Different Router Replacement Methods
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[51] A Comparison Study of Constriction and Random Inertia Weight Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System …
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[52] Implementation of Control Interfaces for Moving Omnidirectional Access Point Robot
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[53] A Simulated Annealing Based Centre of Mass (SAC) Approach for Mesh Routers Placement in Rural Areas
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[54] Performance Evaluation of WMNs Using WMN-PSOHC-DGA Considering Evolution Steps and Computation Time
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[55] Performance Evaluation of RIWM and RDVM Router Replacement Methods for WMNs by WMN-PSOHC Hybrid Intelligent System
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[56] Joint Traffic-Aware UAV Placement and Predictive Routing for Aerial Networks
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[57] A Load Balancing Aware Intelligent Hybrid Simulation System for WMNs Considering Different Number of Mesh Routers: A Comparison Study for Uniform and …
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[58] Performance Evaluation of WMNs Using an Hybrid Intelligent System Based on Particle Swarm Optimization and Hill Climbing Considering Different Number of …
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[59] A Hybrid Intelligent Simulation System for Constructing IoT Networks: Performance Evaluation of WMN-PSODGA Simulation System Considering Different Router …
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[60] Performance Comparison of Mesh Router Replacement Methods by WMN-PSOHC Simulation System Considering Linearly Decreasing Inertia Weight Method and …
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[61] Performance Evaluation of WMN-PSODGA Hybrid Simulation System for Node Placement Problem Considering Normal Distribution and Different Fitness Functions
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[62] Performance Evaluation of WMN-PSOSA-DGA Simulation System Considering Uniform and Chi-Square Client Distributions
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[63] WMN-PSODGA-An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing: A Comparison for Different Client Distributions
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[64] Performance Evaluation of WMNs by WMN-PSOHC Hybrid Simulation System Considering CM and LDVM Replacement Methods
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[65] Performance Evaluation of WMNs Using WMN-PSOHC-DGA Considering LDVM and RDVM Replacement Methods
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[66] Optimal Number of MOAP Robots for WMNs Using Elbow Theory
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[67] Performance Evaluation of WMN-PSOSA-DGA Simulation System Considering Linearly Decreasing Vmax Method and Rational Decreament of Vmax Method
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[68] Optimal Number of MOAP Robots for WMNs Using Silhouette Theory
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[69] Implementation of a Moving Omnidirectional Access Point Robot and a Position Detecting System
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[70] Performance Evaluation of WMNs by WMN-PSODGA Simulation System Considering Exponential Distribution of Mesh Clients and Different Router Replacement …
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[71] A Comparison Study of Constriction and Random Inertia Weight Router Replacement Methods for WMNs Using WMN-PSODGA Hybrid Intelligent System
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[72] Systematic Review of Gateways Placement Methods in Wireless Networks.
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[73] Implementation of a Web interface for hybrid intelligent systems: A comparison study of two hybrid intelligent systems
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[74] Analysis of Internet Gateway Placement Problem in Heterogeneous Wireless Networks for Machine to Machine Communication
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[75] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Exponential and Chi-Square Client Distributions
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[76] A Comparison Study for Chi-Square and Uniform Client Distributions by WMN-PSOSA Simulation System for WMNs
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[77] Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Random Inertia Weight and Linearly Decreasing Vmax Router Replacement …
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[78] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Weibull and Chi-square Client Distributions
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[79] Gateway Placement and Selection Solutions in WMNs: A Survey
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[80] Performance Evaluation of WMNs by WMN-PSOSA System Considering Chi-square and Exponential Client Distributions
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[81] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Load Balancing and Client Uniform Distribution
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[82] Performance Evaluation of WMNs by WMN-PSOHC System Considering Random Inertia Weight and Linearly Decreasing Inertia Weight Replacement Methods
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[83] A Hybrid Intelligent Simulation System for Node Placement in WMNs Considering Load Balancing: A Comparison Study for Exponential and Normal Distribution of …
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[84] Performance Evaluation of WMNs WMN-PSOHC System Considering Constriction and Linearly Decreasing Inertia Weight Replacement Methods
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[85] Implementation of a Web interface for hybrid intelligent systems
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[86] Genetic algorithms and greedy-randomized adaptive search procedure for router placement problem in wireless networks
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[87] Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Load Balancing: A Comparison Study for Exponential and Weibull Distribution of …
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[88] Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Linearly Decreasing Inertia Weight and Linearly Decreasing Vmax …
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[89] Performance Evaluation of WMNs by WMN-PSOHC System Considering Random Inertia Weight and Linearly Decreasing Vmax Replacement Methods
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[90] A Comparison Study of Constriction and Linearly Decreasing Vmax Replacement Methods for Wireless Mesh Networks by WMN-PSOHC-DGA Simulation System
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[91] A review of gateway placement algorithms on Internet of Things
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[93] Design and implementation of a hybrid intelligent system based on particle swarm optimization, hill climbing and distributed genetic algorithm for node placement …
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[94] Gateway Deployment in a Wireless Mesh Network for Load Balancing and Transmission Reduction
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[95] Performance analysis of two WMN architectures by WMN-GA simulation system considering different distributions and transmission rates
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[96] Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization and Distributed Genetic Algorithm
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[97] Performance analysis of WMNs by WMN-GA simulation system for two WMN architectures and different TCP congestion-avoidance algorithms and client distributions
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[98] Performance Analysis of Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs Considering Different Distributions of …
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[99] Performance Evaluation of WMN-PSOSA Considering Exponential and Weibull Distributions
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[100] Performance analysis of a genetic algorithm based system for wireless mesh networks considering exponential and weibull distributions, DCF and EDCA, and …
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[101] Performance Evaluation of WMN-PSOSA Considering Four Different Replacement Methods
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[102] Performance Behavior of WMN-PSODGA Simulation System for WMNs Considering Uniform and Chi-Square Client Distributions
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[103] Performance Evaluation of WMN-PSODGA System for Node Placement Problem in WMNs Considering Four Different Crossover Methods
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[104] The Aggregation Point Placement Problem for Power Distribution Systems
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[105] Performance Analysis of WMN-PSOSA Simulation System for WMNs Considering Weibull and Chi-Square Client Distributions
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[106] Performance Evaluation of WMNs for Normal and Uniform Distribution of Mesh Clients Using WMN-PSOSA Simulation System
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[107] A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and …
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[108] Implementation of an intelligent hybrid simulation systems for WMNs based on particle swarm optimization and simulated annealing: performance evaluation for …
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[109] Performance Analysis by WMN-GA Simulation System for Different WMN Architectures Considering Exponential Distribution, Different Transmission Rates and OLSR …
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[110] Efficient cache update for in-memory cluster computing with spark
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[111] A GA-based simulation system for WMNs: comparison analysis for different number of flows, client distributions, DCF and EDCA functions
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[112] A Study on Performance of Hill Climbing Heuristic Method for Router Placement in Wireless Mesh Networks
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[113] 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
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[114] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Exponential Distribution, HWMP and TCP Protocols
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[115] Implementation of an Intelligent Hybrid Simulation System for Node Placement Problem in WMNs Considering Particle Swarm Optimization and Simulated Annealing
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[116] Performance Analysis by WMN-GA Simulation System for Different WMN Architectures Considering Exponential Distribution, Different Transmission Rates and OLSR …
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[117] Performance analysis of different architectures and TCP congestion-avoidance algorithms using WMN-GA simulation system
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[118] Performance Evaluation of WMN-PSOHC and WMN-PSO Simulation Systems for Node Placement in Wireless Mesh Networks: A Comparison Study
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[119] A GA-Based Simulation System for WMNs: A Comparison Study for Different WMN Architectures Considering Exponential and Weibull Distributions, HWMP and TCP …
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[120] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Weibull Distribution, HWMP and TCP Protocols
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[121] Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight Methods
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[122] Performance Evaluation of Intelligent Hybrid Systems for Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-PSOHC and WMN-PSOSA
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[123] Implementation of Intelligent Hybrid Systems for Node Placement Problem in WMNs Considering Particle Swarm Optimization, Hill Climbing and Simulated Annealing
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[124] Performance Analysis of WMNs by WMN-GA Simulation System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms Considering Exponential …
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[125] Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Random Inertia Weight Method and Linearly Decreasing Vmax Method
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[126] Wireless Network Gateway Placement by Evolutionary Graph Clustering
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[127] Performance analysis of two Wireless Mesh Network architectures by WMN-SA and WMN-TS simulation systems
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[128] Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Vmax Methods
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[129] Performance analysis of mesh portal points placement schemes for Rural Settlement Patterns
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[130] Performance Analysis of WMN-GA System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms
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[131] A GA-Based Simulation System for WMNs: Performance Analysis of WMN-GA System for Different WMN Architectures and Uniform Distribution Considering DCF and …
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[132] Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation
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[133] Implementation and evaluation of a simulation system based on particle swarm optimisation for node placement problem in wireless mesh networks
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[134] An Integrated Simulation System Considering WMN-PSO Simulation System and Network Simulator 3
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[135] Performance Evaluation of WMN-GA System in Node Placement in WMNs for Different Distributions of Mesh Clients and Different Selection and Mutation Operators
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[136] 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
[137] Comparison Analysis by WMN-GA Simulation System for Different WMN Architectures, Normal and Uniform Distributions, DCF and EDCA Functions
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[138] Optimizing Gateway Placement in Wireless Mesh Network using Genetic Algorithm and Simulated Annealing
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[139] Comparison Analysis by WMN-GA Simulation System for Different WMN Architectures, Distributions and Routing Protocols Considering TCP
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[140] Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-SA and WMN-PSO Simulation Systems
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[141] Performance Analysis of a Genetic Algorithm Based System for Wireless Mesh Networks Considering Weibull Distribution, DCF and EDCA
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[142] A GA-based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Transmission Rate and OLSR Protocol
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[143] Performance Analysis of WMNs by WMN-GA Simulation System for Exponential Distribution Considering EDCA and DCF
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[144] Performance Analysis of WMNs by WMN-GA Simulation System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms Considering Uniform …
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[145] A GA-Based Simulation System for WMNs: Performance Analysis of WMN-GA System for Different WMN Architectures and Uniform Distribution Considering DCF and …
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[146] Performance analysis of WMNs by WMN-GA simulation system for different WMN architectures and TCP congestion-avoidance algorithms considering uniform …
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[147] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Uniform Distribution, Transmission Rate and OLSR …
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[148] Investigation of Fitness Function Weight-Coefficients for Optimization in WMN-PSO Simulation System
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[149] MINIMIZING OVERHEAD IN CORE ASSISTED MESH PROTOCOL USING ROUTING PROTOCOL
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[150] A GA-based simulation system for WMNs: performance analysis for different WMN architectures considering transmission rate and OLRS protocol
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[151] Implementation of Simulation Systems and Testbed for WMNs: Simulation and Experimental Results
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[152] Approach based patterns for system-of-systems reconfiguration
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[153] A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering TCP and OLSR Protocols
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[154] Analysis of Node Placement in Wireless Mesh Networks Using Friedman Test: A Comparison Study for Genetic Algorithms and Hill Climbing
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[155] Performance Analysis of WMN-GA Simulation System for Different WMN Architectures Considering OLSR
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[156] A genetic algorithm-based system for wireless mesh networks: analysis of system data considering different routing protocols and architectures
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[157] A Study on Performance of Hill Climbing for Router Placement in Wireless Mesh Networks
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[158] Optimization of Giant Component and Number of Covered Users in Wireless Mesh Networks: A Comparison Study
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[159] Application of WMN-SA Simulation System for WMN Node Placement in a Realistic Scenario
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[160] Analysis of WMN-HC Simulation System Data Using Friedman Test
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[161] Interface and results visualization of WMN-GA simulation system: Evaluation for Exponential and Weibull distributions considering different transmission rates
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[162] A web interface for wireless mesh networks based on heuristic algorithms: optimisation and analysis for different scenarios
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[163] L-MODEL MANAGEMENT FOR WIRELESS MESH DEPLOYMENT
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[164] Analysis of mesh router placement in wireless mesh networks using Friedman test considering different meta-heuristics
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[165] Design and Implementation of a Simulation System Based on Particle Swarm Optimization for Node Placement Problem in Wireless Mesh Networks
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[166] A Genetic Approach for Gateway Placement in Wireless Mesh Networks
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[167] ATM based WMN architecture for Distributed Generation systems in electrical networks
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[168] Analysis of Node Placement in Wireless Mesh Networks Using Friedman Test: A Comparison Study for Tabu Search and Hill Climbing
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[169] Application of WMN-SA Web Interface and NS-3 for Optimization and Analysis in WMNs Considering Different Number of Mesh Routers and Architectures
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[170] A PSO-based Simulation System for Node Placement in Wireless Mesh Networks: Evaluation Results for Different Replacement Methods
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[171] Friedman Test for Analysing WMNs: A Comparison Study for Genetic Algorithms and Simulated Annealing
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[172] Performance Analysis of WMN-GA Simulation System for Different WMN Architectures and Routing Protocols Considering Weibull Distribution
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[173] 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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[174] Performance Analysis of WMN-GA Simulation System for Different WMN Architectures and Routing Protocols Considering Exponential Distribution
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[175] Application of WMN-HC Web Interface and NS-3 for Optimization and Analysis in WMNs Considering Different Number of Mesh Routers and Architectures
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[176] Analysis of WMN-GA Simulation Results: Optimization of Number of Mesh Routers Considering Exponential and Weibull Distributions of Mesh Clients
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[177] Performance Evaluation of WMN-HC System for Different Number of Mesh Clients and Mesh Routers
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[178] Analysis of Mesh Router Node Placement Using WMN-GA System Considering Different Architectures of WMNs
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[179] Performance Analysis of WMN-SA: Node Placement Problem Using Simulated Annealing Algorithm for Different Replacement Methods
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[180] Analysis of WMN-GA Simulation System Results: A Comparison Study for Node Placement in WMNs Considering Exponential and Weibull Distributions and Different …
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[181] Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario
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[182] 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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[183] Effect of different grid shapes in wireless mesh network-genetic algorithm system
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[184] A GA-based simulation system for wmns: performance analysis for different wmn architectures considering tcp
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[185] Node Placement in WMNs using WMN-GA System Considering Uniform and Normal Distribution of Mesh Clients
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[186] Analysis of Mesh Router Placement in Wireless Mesh Networks Using Friedman Test
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[187] Analysis of WMN-GA Simulation Results: WMN Performance Considering Stationary and Mobile Scenarios
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[188] Router Node Placement With Service Priority in Wireless Mesh Networks Using Simulated Annealing With Momentum Terms
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[189] Node Placement in WMNs Using WMN-HC System and Different Movement Methods
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[190] WMN-GA for Node Placement in WMN: Evaluation and Visualization using HotSpot Ad-hoc Method
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[191] Performance evaluation of WMN-GA system for different settings of population size and number of generations
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[192] Effect of different grid shapes in wireless mesh network–genetic algorithm system
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[193] WMN-SA System for Node Placement in WMNs: Evaluation for Different Realistic Distributions of Mesh Clients
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[194] Performance evaluation considering iterations per phase and SA temperature in WMN-SA system
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[195] Effects of population size for location-aware node placement in WMNs: evaluation by a genetic algorithm--based approach
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[196] Evaluation of Effects of Grid Shape in WMN-SA System for Solution of Node Placement Problem in WMNs
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[197] A simulation system for WMN based on SA: performance evaluation for different instances and starting temperature values
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[198] Solving Mesh Router Nodes Placement Problem in Wireless Mesh Networks by Tabu Search Algorithm
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[199] Node placement for wireless mesh networks: Analysis of WMN-GA system simulation results for different parameters and distributions
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[200] 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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[201] Analysis of WMN-SA andWMN-GA Simulation Results: A Comparison Performance for Wireless Mesh Networks
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[202] Node Placement in WMNs for Different Movement Methods: A Hill Climbing System Considering Exponential and Weibull Distributions
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[203] A layout based customized testing technique for total microfluidic operations in digital microfluidic biochips
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[204] Comparative analysis of classification techniques for building block extraction using aerial imagery and LiDAR data
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[205] A Comparison Study of Simulated Annealing and Genetic Algorithm for Node Placement Problem in Wireless Mesh Networks.
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[206] Performance Evaluation of WMNs Using Simulated Annealing Algorithm Considering Different Number Iterations per Phase and Normal Distribution
Information Technology Convergence. Springer Netherlands, 2013., 2013
[207] WMN-GA System for Node Placement in WMNs: Effect of Grid Shape
Information Technology Convergence. Springer Netherlands,?, 2013
[208] 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
[209] Planning the deployment of fault-tolerant wireless sensor networks
2013
[210] 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
[211] 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
[212] Performance Evaluation of Mesh Router Node Placement Using Simulated Annealing Considering Exponential and Weibull Distributions
Network-Based Information Systems (NBiS), 2013 16th International Conference on. IEEE, 2013., 2013
[213] Performance Analysis of WMNs Using Hill Climbing Algorithm Considering Different Iterations per Phase
Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on. IEEE, 2013., 2013
[214] 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
[215] WMN-GA System for Node Placement in WMNs: Performance Evaluation for Weibull Distribution of Mesh Clients
Information Technology Convergence. Springer Netherlands,, 2013
[216] Performance Evaluation of WMNs Using Hill Climbing Algorithm Considering Giant Component and Different Distributions
Information Technology Convergence. Springer Netherlands, 2013, 2013
[217] Zero-Degree algorithm for Internet GateWay placement in backbone wireless mesh networks
Journal of Network and Computer Applications, 2013
[218] 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
[219] 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
[220] Gateway placement approaches in Wireless Mesh Network: Study survey
Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on. IEEE, 2013
[221] A comparison study of simulated annealing and genetic algorithm for node placement problem in wireless mesh networks
Journal of Mobile Multimedia, 2013
[222] 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
[223] 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
[224] Internet Gateway Placement Optimization in Wireless Mesh Networks
Internet of Things, Smart Spaces, and Next Generation Networking. Springer Berlin Heidelberg,, 2013
[225] WMN–GA: a simulation system for WMNs and its evaluation considering selection operators
Journal of Ambient Intelligence and humanized Computing, 2013
[226] Performance analysis of WMNs using simulated annealing algorithm for different temperature values
2013
[227] Mesh Router Node Placement in Wireless Mesh Networks Considering Different Initial Router Placement Methods
2013
[228] Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Exponential and Weibull Distribution of Mesh Clients and Different Selection …
2013
[229] Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Normal Distribution of Mesh Clients and Different Selection and Mutation …
2013
[230] Performance Evaluation of WMN-GA for Wireless Mesh Networks Considering Mobile Mesh Clients
2013
[231] Effects of selection operators for mesh router placement in wireless mesh networks considering weibull distribution of mesh clients
2013
[232] Performance Comparison of a WMN-SA System for Different Distributions of Mesh Clients
2013
[233] Local search methods for efficient router nodes placement in wireless mesh networks.
2012
[234] Study of Wireless Mesh Networks and WMN Architecture
International Journal of Engineering Innovation & Research, 2012
[235] Evaluation of WMN-GA for different mutation operators
International Journal of Space-Based and Situated Computing, 2012
[236] 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
[237] 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
[238] Gateway placement optimisation problem for mobile multicast design in Wireless Mesh Networks
Computer and Communication Engineering (ICCCE), 2012 International Conference on. IEEE, 2012., 2012
[239] Local search methods for efficient router nodes placement in wireless mesh networks
Journal of Intelligent Manufacturing, 2012
[240] Performance evaluation of WMN-GA for different mutation and crossover rates considering number of covered users parameter
Mobile Information Systems, 2012
[241] 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
[242] A Comparison Study for Different Settings of Crossover and Mutation Rates Using WMN-GA Simulation System
Computer Science and Convergence. Springer Netherlands, 2012
[243] Performance Evaluation of WMN-GA System for Dense Networks Considering Different Distributions
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on. IEEE, 2012., 2012
[244] An Interface for Simulating Node Placement in Wireless Mesh Networks
Network-Based Information Systems (NBiS), 2012 15th International Conference on. IEEE, 2012
[245] Evolutionary placement of continuously operating reference stations of Network Real-Time Kinematic
Evolutionary Computation (CEC), 2012 IEEE Congress on. IEEE, 2012
[246] Visualization of Evolutionary Computation Process for Node Placement in WMNs Considering Weibull and Exponential Distribution of Mesh Clients
Emerging Intelligent Data and Web Technologies (EIDWT), 2012 Third International Conference on. IEEE, 2012., 2012
[247] 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
[248] A study on the performance of local search versus population-based methods for mesh router nodes placement problem
Journal of Intelligent Manufacturing, 2012
[249] 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
[250] Dept. of Comput. & Inf. Sci., Seikei Univ., Musashino, Japan
Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on. IEEE, 2012
[251] 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
[252] Evaluation of WMN–GA for different mutation operators
International Journal of Space-Based and Situated Computing, 2012
[253] 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
[254] Improved generic categorical object detection fusing depth cue with 2D appearance and shape features
2012
[255] Machine learning for predictive auto-tuning with boosted regression trees
2012
[256] CAD module for knitting patterns design
2011
[257] 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
[258] 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
[259] EVALUATION OF WMN-GA FOR DIFFERENT MUTATION AND CROSSOVER RATES CONSIDERING GIANT COMPONENT PARAMETER
Journal of Interconnection Networks, 2011
[260] 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
[261] 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
[262] A simulated annealing algorithm for router nodes placement problem in Wireless Mesh Networks
Simulation Modelling Practice and Theory, 2011
[263] Wireless mesh networks: WMN overview, WMN architecture
International Conference on Communication Engineering and Networks IPCSIT.?, 2011
[264] 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
[265] 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
[266] 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
[267] 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
[268] Performance evaluation of WMN using WMN-GA system for different mutation operators
2011
[269] 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
[270] 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
[271] Evaluation of genetic algorithms for mesh router nodes placement in wireless mesh networks
Journal of Ambient Intelligence and Humanized Computing, 2010
[272] 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
[273] Recruitment, retention, and performance of students in the College of Engineering at Illinois
2010
[274] Instant segmentation and feature extraction for recognition of simple objects on mobile phones
2010
[275] 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
[276] 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
[277] Minimum-cost implementation of traffic information system over wireless mesh network
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE. IEEE, 2009., 2009
[278] Minimum-Cost Implementation of Traffic Information System over Wireless Mesh Network.
2009
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