Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation

Sakamoto, Shinji; Oda, Tetsuya; Ikeda, Makoto; Barolli, Leonard; Xhafa, Fatos

doi:10.1109/aina.2016.42

Cited by 72 publications

(7 citation statements)

References 28 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Where, W and H are the width and the height of the considered area, respectively. Also, T and x are the total number of iterations and a current number of iteration, respectively [22].…”

Section: Rational Decrement Of Vmax Methods (Rdvm)mentioning

confidence: 99%

A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using WMN-PSODGA hybrid intelligent simulation system

Barolli

Bylykbashi

Qafzezi

et al. 2021

JHS

Self Cite

View full text Add to dashboard Cite

Wireless Mesh Networks (WMNs) are gaining a lot of attention from researchers due to their advantages such as easy maintenance, low upfront cost and high robustness. Connectivity and stability directly affect the performance of WMNs. However, WMNs have some problems such as node placement problem, hidden terminal problem and so on. In our previous work, we implemented a simulation system to solve the node placement problem in WMNs considering Particle Swarm Optimization (PSO) and Distributed Genetic Algorithm (DGA), called WMN-PSODGA. In this paper, we compare chi-square and uniform distributions of mesh clients for different router replacement methods. The router replacement methods considered are Constriction Method (CM), Random Inertia Weight Method (RIWM), Linearly Decreasing Inertia Weight Method (LDIWM), Linearly Decreasing Vmax Method (LDVM) and Rational Decrement of Vmax Method (RDVM). The simulation results show that for chi-square distribution the mesh routers cover all mesh clients for all router replacement methods. In terms of load balancing, the method that achieves the best performance is RDVM. When using the uniform distribution, the mesh routers do not cover all mesh clients, but this distribution shows good load balancing for four router replacement methods, with RIWM showing the best performance. The only method that shows poor performance for this distribution is LDIWM. However, since not all mesh clients are covered when using uniform distribution, the best scenario is chi-square distribution of mesh clients with RDVM as a router replacement method.

show abstract

“…Where, W and H are the width and the height of the considered area, respectively. Also, T and x are the total number of iterations and a current number of iteration, respectively [22].…”

Section: Rational Decrement Of Vmax Methods (Rdvm)mentioning

confidence: 99%

A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using WMN-PSODGA hybrid intelligent simulation system

Barolli

Bylykbashi

Qafzezi

et al. 2021

JHS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Also, T and x are the total number of iterations and a current number of iteration, respectively [35].…”

Section: Routers Replacement Methodmentioning

confidence: 99%

Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-SA and WMN-PSO Simulation Systems

Sakamoto

Oda

Ikeda

et al. 2016

2016 19th International Conference on Network-Based Information Systems (NBiS)

Self Cite

View full text Add to dashboard Cite

“…The Vmax is kept decreasing with the increasing of iterations as: where W and H are the width and the height of the considered area, respectively. Also, T and x are the total number of iterations and a current number of iterations, respectively Sakamoto et al (2016b).…”

Section: Proposed and Implemented Simulation Systemsmentioning

confidence: 99%

Implementation of a Web interface for hybrid intelligent systems

Sakamoto

Barolli

et al. 2019

IJWIS

Self Cite

View full text Add to dashboard Cite

PurposeThe purpose of this paper is to implement a Web interface for hybrid intelligent systems. Using the implemented Web interface, this paper evaluates two hybrid intelligent systems based on particle swarm optimization, hill climbing and distributed genetic algorithm to solve the node placement problem in wireless mesh networks (WMNs).Design/methodology/approachThe node placement problem in WMNs is well-known to be a computationally hard problem. Therefore, the authors use intelligent algorithms to solve this problem. The implemented systems are intelligent systems based on meta-heuristics algorithms: Particle Swarm Optimization (PSO), Hill Climbing (HC) and Distributed Genetic Algorithm (DGA). The authors implement two hybrid intelligent systems: WMN-PSODGA and WMN-PSOHC-DGA.FindingsThe authors carried out simulations using the implemented Web interface. From the simulations results, it was found that the WMN-PSOHC-DGA system has a better performance compared with the WMN-PSODGA system.Research limitations/implicationsFor simulations, the authors considered Normal distribution of mesh clients. In the future, the authors need to consider different client distributions, patterns, number of mesh nodes and communication distance.Originality/valueIn this research work, the authors implemented a Web interface for hybrid intelligent systems. The implemented interface can be extended for other metaheuristic algorithms.

show abstract

Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation

Abstract: UPCommonsPortal del coneixement obert de la UPC http://upcommons.upc.edu/e-prints Sakamoto, S. [et al.]

Cited by 72 publications

References 28 publications

A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using WMN-PSODGA hybrid intelligent simulation system

A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using WMN-PSODGA hybrid intelligent simulation system

Node Placement in Wireless Mesh Networks: A Comparison Study of WMN-SA and WMN-PSO Simulation Systems

Implementation of a Web interface for hybrid intelligent systems

Contact Info

Product

Resources

About