Makoto Takizawa | Hosei University (original) (raw)

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Papers by Makoto Takizawa

Journal of Interconnection Networks, Sep 1, 2011

Wireless Mesh Networks (WMNs) are currently attracting a lot of attention from wireless research ... more Wireless Mesh Networks (WMNs) are currently attracting a lot of attention from wireless research and technology community due to their importance as means for providing cost-efficient broadband wireless connectivity. WMNs are based on mesh topology, in which every node is connected to one or more nodes, enabling thus the information transmission in more than one path. In this paper, we deal with the effects of mutation and crossover operators in GA for node placement problem. We evaluate the performance of the proposed system using different genetic operators and different distributions of router nodes considering giant component parameter. The simulation results show that for Exponential and Linear Ranking methods, the system has a good performance.

Lecture notes on data engineering and communications technologies, Nov 2, 2017

Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wire... more Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wireless Internet connectivity, therefore WMNs are becoming an important networking infrastructure. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system for node placement in WMNs, called WMN-PSO. Also, we implemented a simulation system based on Simulated Annealing (SA) for solving node placement problem in WMNs, called WMN-SA. In this paper, we implement a hybrid simulation system based on PSO and SA, called WMN-PSOSA. We evaluate the Performance of WMN-PSOSA by conducting computer simulations considering Random Inertia Weight Method (RIWM) and Linearly Decreasing Vmax Method (LDVM). The simulation results show that the LDVM has better performance than RIWM for this scenario.

IEEE Conference Proceedings, 2016

Advances in intelligent systems and computing, Jul 5, 2017

2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)

This paper presents topic of data sharing algorithms used to management processes of strategic da... more This paper presents topic of data sharing algorithms used to management processes of strategic data. In this solution will be describe the cryptographic techniques dedicated to splitting and sharing processes. Also, safety analysis of these methods will be discussed. The safety analysis and standardization methods of data sharing algorithms for management processes are new solution and very important in aspects of data security, especially in management application. Data splitting and sharing protocols are dedicated for secure data in different distribution processes. Such algorithms allow protecting confidential information, and performing secure operation for different kinds of data.

Lecture notes in networks and systems, 2022

Advances in Internet, Data & Web Technologies, 2022

2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications, 2011

Lecture Notes in Networks and Systems, 2020

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...

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 \(\alpha =0.6\), \(\beta =0.3\), \(\gamma =0.1\).

Advances in Intelligent Networking and Collaborative Systems, 2021

Advances in Network-Based Information Systems, 2018

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 Normal and Uniform client distributions. Simulation results show that the WMN-PSODGA has good performance for Normal distribution compared with the case of Uniform distribution.

Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

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, for solving node placement problem in WMNs. 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 Constriction Method (CM) and Linearly Decreasing Vmax Method (LDVM). Simulation results show that a good performance is achieved for CM compared with the case of LDVM.

Journal of Interconnection Networks, Sep 1, 2011

Wireless Mesh Networks (WMNs) are currently attracting a lot of attention from wireless research ... more Wireless Mesh Networks (WMNs) are currently attracting a lot of attention from wireless research and technology community due to their importance as means for providing cost-efficient broadband wireless connectivity. WMNs are based on mesh topology, in which every node is connected to one or more nodes, enabling thus the information transmission in more than one path. In this paper, we deal with the effects of mutation and crossover operators in GA for node placement problem. We evaluate the performance of the proposed system using different genetic operators and different distributions of router nodes considering giant component parameter. The simulation results show that for Exponential and Linear Ranking methods, the system has a good performance.

Lecture notes on data engineering and communications technologies, Nov 2, 2017

Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wire... more Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wireless Internet connectivity, therefore WMNs are becoming an important networking infrastructure. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system for node placement in WMNs, called WMN-PSO. Also, we implemented a simulation system based on Simulated Annealing (SA) for solving node placement problem in WMNs, called WMN-SA. In this paper, we implement a hybrid simulation system based on PSO and SA, called WMN-PSOSA. We evaluate the Performance of WMN-PSOSA by conducting computer simulations considering Random Inertia Weight Method (RIWM) and Linearly Decreasing Vmax Method (LDVM). The simulation results show that the LDVM has better performance than RIWM for this scenario.

IEEE Conference Proceedings, 2016

Advances in intelligent systems and computing, Jul 5, 2017

2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)

This paper presents topic of data sharing algorithms used to management processes of strategic da... more This paper presents topic of data sharing algorithms used to management processes of strategic data. In this solution will be describe the cryptographic techniques dedicated to splitting and sharing processes. Also, safety analysis of these methods will be discussed. The safety analysis and standardization methods of data sharing algorithms for management processes are new solution and very important in aspects of data security, especially in management application. Data splitting and sharing protocols are dedicated for secure data in different distribution processes. Such algorithms allow protecting confidential information, and performing secure operation for different kinds of data.

Lecture notes in networks and systems, 2022

Advances in Internet, Data & Web Technologies, 2022

2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications, 2011

Lecture Notes in Networks and Systems, 2020

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...

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 \(\alpha =0.6\), \(\beta =0.3\), \(\gamma =0.1\).

Advances in Intelligent Networking and Collaborative Systems, 2021

Advances in Network-Based Information Systems, 2018

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 Normal and Uniform client distributions. Simulation results show that the WMN-PSODGA has good performance for Normal distribution compared with the case of Uniform distribution.

Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

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, for solving node placement problem in WMNs. 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 Constriction Method (CM) and Linearly Decreasing Vmax Method (LDVM). Simulation results show that a good performance is achieved for CM compared with the case of LDVM.