A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and ... View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Admir Barolli , Shinji Sakamoto , Leonard Barolli , Makoto Takizawa

ABSTRACT

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. More... »

PAGES

42-55

Book

TITLE

Advances in Network-Based Information Systems

ISBN

978-3-319-98529-9
978-3-319-98530-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-98530-5_4

DOI

http://dx.doi.org/10.1007/978-3-319-98530-5_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106365324


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