Skip to main content

Performance Comparison of CM and LDIWM Router Replacement Methods for WMNs by WMN-PSOHC Simulation System Considering Chi-Square Distribution of Mesh Clients

  • Conference paper
  • First Online:
Advances in Networked-Based Information Systems (NBiS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 313))

Included in the following conference series:

  • 406 Accesses

Abstract

With the rapid development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a hybrid simulation system based on PSO and HC called WMN-PSOHC. In this paper, we compare the performance of Constriction Method (CM) and Linearly Decreasing Inertia Weight Method (LDIWM) for WMNs by using WMN-PSOHC considering Chi-square distribution of mesh clients. Simulation results show that LDIWM has better performance than CM for the considered scenario.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Akyildiz, I.F., Wang, X., Wang, W.: Wireless mesh networks: a survey. Comput. Netw. 47(4), 445–487 (2005)

    Article  Google Scholar 

  2. Barolli, A., Sakamoto, S., Barolli, L., Takizawa, M.: A hybrid simulation system based on particle swarm optimization and distributed genetic algorithm for WMNs: performance evaluation considering normal and uniform distribution of mesh clients. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds.) International Conference on Network-Based Information Systems, NBiS 2018. LNCS, vol. 1151, pp. 42–55. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98530-5_4

  3. Barolli, A., Sakamoto, S., Barolli, L., Takizawa, M.: Performance analysis of simulation system based on particle swarm optimization and distributed genetic algorithm for WMNs considering different distributions of mesh clients. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds) International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2018, vol. 22, pp. 32–45. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98530-5_4

  4. Barolli, A., Sakamoto, S., Barolli, L., Takizawa, M.: Performance evaluation of WMN-PSODGA system for node placement problem in WMNs considering four different crossover methods. In: The 32nd IEEE International Conference on Advanced Information Networking and Applications (AINA-2018), pp. 850–857. IEEE (2018)

    Google Scholar 

  5. Barolli, A., Sakamoto, S., Durresi, H., Ohara, S., Barolli, L., Takizawa, M.: A comparison study of constriction and linearly decreasing Vmax replacement methods for wireless mesh networks by WMN-PSOHC-DGA simulation system. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds.) International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2019. LNCS, vol. 96, pp. 26–34. Springer, Cham (2019)

    Google Scholar 

  6. Barolli, A., Sakamoto, S., Ohara, S., Barolli, L., Takizawa, M.: Performance analysis of WMNs by WMN-PSOHC-DGA simulation system considering linearly decreasing inertia weight and linearly decreasing Vmax replacement methods. In: Barolli, L., Nishino, H., Miwa, H. (eds.) International Conference on Intelligent Networking and Collaborative Systems, INCoS 2019. AISC, vol. 1035, pp. 14–23. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29035-1_2

  7. Barolli, A., Sakamoto, S., Ohara, S., Barolli, L., Takizawa, M.: Performance analysis of WMNs by WMN-PSOHC-DGA simulation system considering random inertia weight and linearly decreasing Vmax router replacement methods. In: Barolli, L., Hussain, F., Ikeda, M. (eds.) Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2019. AISC, vol. 993, pp. 13–21. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22354-0_2

  8. Clerc, M., Kennedy, J.: The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1), 58–73 (2002)

    Article  Google Scholar 

  9. Matsuo, K., Sakamoto, S., Oda, T., Barolli, A., Ikeda, M., Barolli, L.: Performance analysis of WMNs by WMN-GA simulation system for two WMN architectures and different TCP congestion-avoidance algorithms and client distributions. Int. J. Commun. Netw. Distrib. Syst. 20(3), 335–351 (2018)

    Google Scholar 

  10. Ohara, S., Barolli, A., Sakamoto, S., Barolli, L.: Performance analysis of WMNs by WMN-PSODGA simulation system considering load balancing and client uniform distribution. In: Barolli, L., Xhafa, F., Hussain, O. (eds.) International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, vol. 994, pp. 25–38. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22263-5_3

  11. Ozera, K., Bylykbashi, K., Liu, Y., Barolli, L.: A fuzzy-based approach for cluster management in VANETs: performance evaluation for two fuzzy-based systems. Internet Things 3, 120–133 (2018)

    Article  Google Scholar 

  12. Ozera, K., Inaba, T., Bylykbashi, K., Sakamoto, S., Ikeda, M., Barolli, L.: A WLAN triage testbed based on fuzzy logic and its performance evaluation for different number of clients and throughput parameter. Int. J. Grid Util. Comput. 10(2), 168–178 (2019)

    Article  Google Scholar 

  13. Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. Swarm Intell. 1(1), 33–57 (2007)

    Article  Google Scholar 

  14. Sakamoto, S., Lala, A., Oda, T., Kolici, V., Barolli, L., Xhafa, F.: Analysis of WMN-HC simulation system data using Friedman test. In: The Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2015), pp. 254–259. IEEE (2015)

    Google Scholar 

  15. Sakamoto, S., Oda, T., Ikeda, M., Barolli, L., Xhafa, F.: Implementation and evaluation of a simulation system based on particle swarm optimisation for node placement problem in wireless mesh networks. Int. J. Commun. Netw. Distrib. Syst. 17(1), 1–13 (2016)

    Google Scholar 

  16. Sakamoto, S., Oda, T., Ikeda, M., Barolli, L., Xhafa, F.: Implementation of a new replacement method in WMN-PSO simulation system and its performance evaluation. In: The 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016), pp. 206–211 (2016). https://doi.org/10.1109/AINA.2016.42

  17. Sakamoto, S., Ozera, K., Ikeda, M., Barolli, L.: Implementation of intelligent hybrid systems for node placement problem in WMNs considering particle swarm optimization, hill climbing and simulated annealing. Mobile Netw. Appl. 23(1), 27–33 (2018)

    Article  Google Scholar 

  18. Sakamoto, S., Barolli, A., Barolli, L., Okamoto, S.: Implementation of a web interface for hybrid intelligent systems. Int. J. Web Inf. Syst. 15(4), 420–431 (2019)

    Article  Google Scholar 

  19. Sakamoto, S., Barolli, L., Okamoto, S.: WMN-PSOSA: an intelligent hybrid simulation system for WMNs and its performance evaluations. Int. J. Web Grid Serv. 15(4), 353–366 (2019)

    Article  Google Scholar 

  20. Sakamoto, S., Ohara, S., Barolli, L., Okamoto, S.: Performance evaluation of WMNs by WMN-PSOHC system considering random inertia weight and linearly decreasing Vmax replacement methods. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds.) International Conference on Network-Based Information Systems, vol. 1151, pp. 27–36. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-44041-1_28

  21. Schutte, J.F., Groenwold, A.A.: A study of global optimization using particle swarms. J. Global Optim. 31(1), 93–108 (2005)

    Article  MathSciNet  Google Scholar 

  22. Shi, Y.: Particle swarm optimization. IEEE Connections 2(1), 8–13 (2004)

    Google Scholar 

  23. Shi, Y., Eberhart, R.C.: Parameter selection in particle swarm optimization. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds.) Evolutionary Programming VII, EP 1998, vol. 1447, pp. 591–600. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0040810

  24. Wang, J., Xie, B., Cai, K., Agrawal, D.P.: Efficient mesh router placement in wireless mesh networks. In: Proceedings of IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS-2007), pp. 1–9 (2007)

    Google Scholar 

  25. Xhafa, F., Sanchez, C., Barolli, L.: Ad hoc and neighborhood search methods for placement of mesh routers in wireless mesh networks. In: Proceedings of 29th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS-2009), pp. 400–405 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shinji Sakamoto .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sakamoto, S., Liu, Y., Barolli, L., Okamoto, S. (2022). Performance Comparison of CM and LDIWM Router Replacement Methods for WMNs by WMN-PSOHC Simulation System Considering Chi-Square Distribution of Mesh Clients. In: Barolli, L., Chen, HC., Enokido, T. (eds) Advances in Networked-Based Information Systems. NBiS 2021. Lecture Notes in Networks and Systems, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-030-84913-9_2

Download citation

Publish with us

Policies and ethics