Innovative Mobile and Internet Services in Ubiquitous Computing, 2019
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has ... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. In this paper, we consider the load balancing problem. Different from our previous work, we add in the fitness function a new parameter called NCMCpR (Number of Covered Mesh Clients per Router). The simulation results show that better optimization is achieved by considering load balancing.
The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because the... more The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. We analyze the performance of WMNs using WMN-PSODGA simulation system considering Uniform and Chi-square client distributions. Simulation results show that the WMN-PSODGA has good performance for Chi-square distribution compared with the case of Uniform distribution.
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has ... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we consider Exponential and Normal distributions of mesh clients and carry out a comparison study. The simulation results show that the performance of the Exponential and Normal distribution was improved by considering load balancing when using WMN-PSODGA. Moreover, for the same number of mesh cli...
In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures con... more In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3, Distributed Coordination Function (DCF) and Optimized Link State Routing (OLSR). We compare the performance of Transmission Control Protocol (TCP) Tahoe, Reno and NewReno for normal and uniform distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of I/B WMN for uniform distribution is a little bit higher than normal distribution. For both WMN architectures, the throughput of normal distribution is better than uniform distribution. The delay of Tahoe is a little bit lower compared with other algorithms for normal distribution and Hybrid WMN, but in case of uniform distribution, the NewReno performs better than other algorithms for both archit...
The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because the... more The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) and Hill Climbing (HC) based hybrid simulation system, called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA. Then, we implemented a hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we analyze the performance of WMNs using WMN-PSOHC-DGA simulation system considering the number of evolution steps and computation time. Simulation results show that the 8 evolution steps were enough and computation time was linearly increased with increasing of the evolution steps.
In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures con... more In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3, Distributed Coordination Function (DCF) and Optimized Link State Routing (OLSR). We compare the performance of Transmission Control Protocol (TCP) Tahoe, Reno and NewReno for Weibull distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of I/B WMN in Weibull distribution is a little bit higher than exponential distribution. For both WMN architectures, the throughput of Weibull distribution is better than exponential distribution. The delay of TCP Tahoe is a little bit lower compared with other algorithms in both distributions. For I/B WMN architecture, the fairness index of exponential distribution is a little bit higher than Weibull distribut...
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they ha... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system (called WMN-PSO), and a simulation system based on Genetic Algorithm (GA) (called WMN-GA), for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA) (called WMN-PSODGA). Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we compare the simulation results using uniform and exponential distributions for 16 and 32 mesh routers. The simulation results showed that the proper number of the routers for uniform distribution is 32 and for exponential distribution is 16. Especially, uniform distribution optimized by 3...
The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because the... more The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a simulation system considering Particle Swarm Optimization (PSO), Hill Climbing (HC) and Distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we present the performance of WMNs using WMN-PSOHC-DGA simulation system considering Linearly Decreasing Vmax Method (LDVM) and Rational Decrement of Vmax Method (RDVM). Simulation results show that a good performance is achieved for RDVM compared with the case of LDVM.
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they ha... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we consider Normal distribution of mesh clients and different fitness functions. The simulation results show that WMN-PSODGA has a good performance when weight-coefficients are \(\alpha =0.6\), \(\beta =0.3\), \(\gamma =0.1\).
2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)
The Wireless Mesh Networks (WMNs) have low cost and high speed wireless Internet connectivity, th... more The Wireless Mesh Networks (WMNs) have low cost and high speed wireless Internet connectivity, therefore they are becoming an important networking infrastructure. In our previous work, we implemented a hybrid intelligent system based on Particle Swarm Optimization (PSO) and Hill Climbing (HC), called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a new hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. We evaluate WMN-PSOHC-DGA system by computer simulations. The simulation results show that the WMN-PSOHC-DGA system has a better performance compared with WMN-PSODGA.
Journal of Ambient Intelligence and Humanized Computing
In this paper, we evaluate the performance of two WMN architectures (infrastructure/backbone WMNs... more In this paper, we evaluate the performance of two WMN architectures (infrastructure/backbone WMNs (I/B WMNs) and Hybrid WMN architectures) considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3 and optimized link state routing. We compare the performance of distributed coordination function and enhanced distributed channel access (EDCA) for exponential and Weibull distributions of mesh clients by sending multiple constant bit rate flows in the network. The simulation results show that for exponential distribution, in case of Hybrid WMN, the throughput of both MAC protocols is higher than I/B WMN. For 30 flows, the throughput of EDCA in case of hybrid WMN is about 1.4 times higher than I/B WMN. For Weibull distribution, in case of I/B WMN, the throughput of both MAC protocols is higher than Hybrid WMN. For 30 flows, the throughput of EDCA in case of I/B WMN is about 2.6 times higher than Hybrid WMN. For exponential distribution, the delay and jitter of Hybrid WMN are lower than I/B WMN. For 20 flows, the delay of EDCA in case of hybrid WMN is about 10 times lower than I/B WMN. For Weibull distribution, the delay and jitter of both architectures are almost the same. However, for 10 flows, the delay of I/B WMN is lower compared with hybrid WMN. For exponential distribution, the fairness index of I/B WMN is a little bit higher than hybrid WMN. For Weibull distribution, the fairness index is almost the same for both WMN architectures.
Lecture Notes on Data Engineering and Communications Technologies, 2016
In this paper, we evaluate the performance of two WMN architectures considering Packet Delivery R... more In this paper, we evaluate the performance of two WMN architectures considering Packet Delivery Ratio (PDR), throughput, delay and energy metrics. For simulations, we used ns-3 and Transmission Control Protocol (TCP). We compare the performance for Hybrid Wireless Mesh Protocol (HWMP) and Optimized Link State Routing (OLSR) for normal and uniform distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of HWMP is a little bit better than OLSR. the throughput is better for normal distribution and I/B WMN architecture in case of HWMP. However, for OLSR and normal distribution, the throughput of Hybrid WMN is a little bit higher than I/B WMN. For both distributions the delay of both architectures is better for HWMP compared with OLSR. For both WMN architectures and routing protocols for normal and uniform distributions, respectively. For normal distribution, the energy decreases sharply, because of the high density of nodes, thus the nodes spend more energy. So, the uniform distribution has better performance compared with normal distribution considering the energy parameter.
Innovative Mobile and Internet Services in Ubiquitous Computing, 2019
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has ... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. In this paper, we consider the load balancing problem. Different from our previous work, we add in the fitness function a new parameter called NCMCpR (Number of Covered Mesh Clients per Router). The simulation results show that better optimization is achieved by considering load balancing.
The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because the... more The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. We analyze the performance of WMNs using WMN-PSODGA simulation system considering Uniform and Chi-square client distributions. Simulation results show that the WMN-PSODGA has good performance for Chi-square distribution compared with the case of Uniform distribution.
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has ... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we consider Exponential and Normal distributions of mesh clients and carry out a comparison study. The simulation results show that the performance of the Exponential and Normal distribution was improved by considering load balancing when using WMN-PSODGA. Moreover, for the same number of mesh cli...
In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures con... more In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3, Distributed Coordination Function (DCF) and Optimized Link State Routing (OLSR). We compare the performance of Transmission Control Protocol (TCP) Tahoe, Reno and NewReno for normal and uniform distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of I/B WMN for uniform distribution is a little bit higher than normal distribution. For both WMN architectures, the throughput of normal distribution is better than uniform distribution. The delay of Tahoe is a little bit lower compared with other algorithms for normal distribution and Hybrid WMN, but in case of uniform distribution, the NewReno performs better than other algorithms for both archit...
The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because the... more The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) and Hill Climbing (HC) based hybrid simulation system, called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA. Then, we implemented a hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we analyze the performance of WMNs using WMN-PSOHC-DGA simulation system considering the number of evolution steps and computation time. Simulation results show that the 8 evolution steps were enough and computation time was linearly increased with increasing of the evolution steps.
In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures con... more In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3, Distributed Coordination Function (DCF) and Optimized Link State Routing (OLSR). We compare the performance of Transmission Control Protocol (TCP) Tahoe, Reno and NewReno for Weibull distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of I/B WMN in Weibull distribution is a little bit higher than exponential distribution. For both WMN architectures, the throughput of Weibull distribution is better than exponential distribution. The delay of TCP Tahoe is a little bit lower compared with other algorithms in both distributions. For I/B WMN architecture, the fairness index of exponential distribution is a little bit higher than Weibull distribut...
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they ha... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system (called WMN-PSO), and a simulation system based on Genetic Algorithm (GA) (called WMN-GA), for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA) (called WMN-PSODGA). Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we compare the simulation results using uniform and exponential distributions for 16 and 32 mesh routers. The simulation results showed that the proper number of the routers for uniform distribution is 32 and for exponential distribution is 16. Especially, uniform distribution optimized by 3...
The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because the... more The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a simulation system considering Particle Swarm Optimization (PSO), Hill Climbing (HC) and Distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we present the performance of WMNs using WMN-PSOHC-DGA simulation system considering Linearly Decreasing Vmax Method (LDVM) and Rational Decrement of Vmax Method (RDVM). Simulation results show that a good performance is achieved for RDVM compared with the case of LDVM.
Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they ha... more Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we consider Normal distribution of mesh clients and different fitness functions. The simulation results show that WMN-PSODGA has a good performance when weight-coefficients are \(\alpha =0.6\), \(\beta =0.3\), \(\gamma =0.1\).
2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)
The Wireless Mesh Networks (WMNs) have low cost and high speed wireless Internet connectivity, th... more The Wireless Mesh Networks (WMNs) have low cost and high speed wireless Internet connectivity, therefore they are becoming an important networking infrastructure. In our previous work, we implemented a hybrid intelligent system based on Particle Swarm Optimization (PSO) and Hill Climbing (HC), called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a new hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. We evaluate WMN-PSOHC-DGA system by computer simulations. The simulation results show that the WMN-PSOHC-DGA system has a better performance compared with WMN-PSODGA.
Journal of Ambient Intelligence and Humanized Computing
In this paper, we evaluate the performance of two WMN architectures (infrastructure/backbone WMNs... more In this paper, we evaluate the performance of two WMN architectures (infrastructure/backbone WMNs (I/B WMNs) and Hybrid WMN architectures) considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3 and optimized link state routing. We compare the performance of distributed coordination function and enhanced distributed channel access (EDCA) for exponential and Weibull distributions of mesh clients by sending multiple constant bit rate flows in the network. The simulation results show that for exponential distribution, in case of Hybrid WMN, the throughput of both MAC protocols is higher than I/B WMN. For 30 flows, the throughput of EDCA in case of hybrid WMN is about 1.4 times higher than I/B WMN. For Weibull distribution, in case of I/B WMN, the throughput of both MAC protocols is higher than Hybrid WMN. For 30 flows, the throughput of EDCA in case of I/B WMN is about 2.6 times higher than Hybrid WMN. For exponential distribution, the delay and jitter of Hybrid WMN are lower than I/B WMN. For 20 flows, the delay of EDCA in case of hybrid WMN is about 10 times lower than I/B WMN. For Weibull distribution, the delay and jitter of both architectures are almost the same. However, for 10 flows, the delay of I/B WMN is lower compared with hybrid WMN. For exponential distribution, the fairness index of I/B WMN is a little bit higher than hybrid WMN. For Weibull distribution, the fairness index is almost the same for both WMN architectures.
Lecture Notes on Data Engineering and Communications Technologies, 2016
In this paper, we evaluate the performance of two WMN architectures considering Packet Delivery R... more In this paper, we evaluate the performance of two WMN architectures considering Packet Delivery Ratio (PDR), throughput, delay and energy metrics. For simulations, we used ns-3 and Transmission Control Protocol (TCP). We compare the performance for Hybrid Wireless Mesh Protocol (HWMP) and Optimized Link State Routing (OLSR) for normal and uniform distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of HWMP is a little bit better than OLSR. the throughput is better for normal distribution and I/B WMN architecture in case of HWMP. However, for OLSR and normal distribution, the throughput of Hybrid WMN is a little bit higher than I/B WMN. For both distributions the delay of both architectures is better for HWMP compared with OLSR. For both WMN architectures and routing protocols for normal and uniform distributions, respectively. For normal distribution, the energy decreases sharply, because of the high density of nodes, thus the nodes spend more energy. So, the uniform distribution has better performance compared with normal distribution considering the energy parameter.
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