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A Load Balancing Aware Intelligent Hybrid Simulation System for WMNs Considering Different Number of Mesh Routers: A Comparison Study for Uniform and Exponential Distributions of Mesh Clients

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Complex, Intelligent and Software Intensive Systems (CISIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1194))

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Abstract

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 32 routers shows an effective load balancing.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Seiji Ohara

  2. Department of Information Technology, Aleksander Moisiu University of Durres, L.1, Rruga e Currilave, Durres, Albania

    Admir Barolli

  3. Department of Computer and Information Science, Seikei University, 3-3-1 Kichijoji-Kitamachi, Musashino-shi, Tokyo, 180-8633, Japan

    Shinji Sakamoto

  4. Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Keita Matsuo & Leonard Barolli

  5. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Kajino-Machi, Koganei-Shi, Tokyo, 184-8584, Japan

    Makoto Takizawa

Authors
  1. Seiji Ohara
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  2. Admir Barolli
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  3. Shinji Sakamoto
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  4. Keita Matsuo
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  5. Leonard Barolli
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  6. Makoto Takizawa
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Corresponding author

Correspondence to Seiji Ohara .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Institute of Information Technology, Lodz University of Technology, Łódź, Poland

    Aneta Poniszewska-Maranda

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Ohara, S., Barolli, A., Sakamoto, S., Matsuo, K., Barolli, L., Takizawa, M. (2021). A Load Balancing Aware Intelligent Hybrid Simulation System for WMNs Considering Different Number of Mesh Routers: A Comparison Study for Uniform and Exponential Distributions of Mesh Clients. In: Barolli, L., Poniszewska-Maranda, A., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2020. Advances in Intelligent Systems and Computing, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-50454-0_4

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