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Implementation of Intelligent Hybrid Systems for Node Placement Problem in WMNs Considering Particle Swarm Optimization, Hill Climbing and Simulated Annealing

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Abstract

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, called WMN-PSO. Also, we implemented a simulation system based on Hill Climbing (HC) and Simulated Annealing (SA) for solving node placement problem in WMNs, called WMN-HC and WMN-SA, respectively. In this paper, we implement two intelligent hybrid systems: PSO and HC based system called WMN-PSOHC and PSO and SA based system called WMN-PSOSA. Then we compare WMN-PSO with implemented intelligent hybrid systems by conducting simulations. Simulation results show that intelligent hybrid systems have better performance than WMN-PSO. Comparing intelligent hybrid systems, the WMN-PSOHC converges faster than WMN-PSOSA.

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Authors and Affiliations

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

    Shinji Sakamoto & Kosuke Ozera

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

    Makoto Ikeda & Leonard Barolli

Authors
  1. Shinji Sakamoto
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  2. Kosuke Ozera
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  3. Makoto Ikeda
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  4. Leonard Barolli
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Correspondence to Shinji Sakamoto.

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Sakamoto, S., Ozera, K., Ikeda, M. et al. Implementation of Intelligent Hybrid Systems for Node Placement Problem in WMNs Considering Particle Swarm Optimization, Hill Climbing and Simulated Annealing. Mobile Netw Appl 23, 27–33 (2018). https://doi.org/10.1007/s11036-017-0897-7

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  • DOI: https://doi.org/10.1007/s11036-017-0897-7

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