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An Integrated Simulation System Considering WMN-PSO Simulation System and Network Simulator 3

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2016)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 2))

Abstract

With the fast development of wireless technologies, Wireless Mesh Net-works (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 simulation system based on Particle Swam Optimization for solving node placement problem in wireless mesh networks, called WMN-PSO. In this paper, we implement an integrated system considering WMN-PSO and net-work simulator 3 (ns-3). For simulation, we consider two WMN architectures. From simulation results, we found that the total received throughput of I/BWMNis higher than Hybrid WMN and the delay of I/B WMN is lower than Hybrid WMN.

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References

  1. Aikebaier A, Enokido T, Takizawa M (2011) TMPR-scheme for Reliably Broadcast Messages Among Peer Processes. International Journal of Grid and Utility Computing 2(3):175–182

    Google Scholar 

  2. Akyildiz IF, Wang X, Wang W (2005) Wireless Mesh Networks: A Survey. Computer Networks 47(4):445–487

    Google Scholar 

  3. Amaldi E, Capone A, Cesana M, Filippini I, Malucelli F (2008) Optimization Models and Methods for Planning Wireless Mesh Networks. Computer Networks 52(11):2159–2171

    Google Scholar 

  4. Boyinbode O, Le H, Takizawa M (2011) A Survey on Clustering Algorithms for Wireless Sensor Networks. International Journal of Space-Based and Situated Computing 1(2):130–136

    Google Scholar 

  5. Clerc M, Kennedy J (2002) The Particle Swarm-Explosion, Stability, and Convergence in a multidimensional Complex Space. IEEE Transactions on Evolutionary Computation 6(1):58–73

    Google Scholar 

  6. Franklin AA, Murthy CSR (2007) Node Placement Algorithm for Deployment of Two-tier Wireless Mesh Networks. Proc of Global Telecommunications Conference pp 4823–4827

    Google Scholar 

  7. Girgis MR, Mahmoud TM, Abdullatif BA, Rabie AM (2014) Solving the Wireless Mesh Network Design Problem using Genetic Algorithm and Simulated Annealing Optimization Methods. International Journal of Computer Applications 96(11):1–10

    Google Scholar 

  8. Goto K, Sasaki Y, Hara T, Nishio S (2013) Data Gathering using Mobile Agents for Reducing Traffic in Dense Mobile Wireless Sensor Networks. Mobile Information Systems 9(4):295–314

    Google Scholar 

  9. Hiyama M, Kulla E, Ikeda M, Barolli L (2012) Evaluation of MANET Protocols for Different Indoor Environments: Results from a Real MANET Testbed. International Journal of Space-Based and Situated Computing 2(2):71–82

    Google Scholar 

  10. Hiyama M, Sakamoto S, Kulla E, Ikeda M, Barolli L (2013) Experimental Results of a MANET Testbed for Different Settings of HELLO Packets of OLSR Protocol. Journal of Mobile Multimedia 9(1-2):27–38

    Google Scholar 

  11. Hoshi T, Kumata Y, Koyama A (2013) A Proposal and Evaluation of Access Point Allocation Algorithm for Wireless Mesh Networks. International Conference on Network-Based Information Systems (NBiS-2013) pp 389–394

    Google Scholar 

  12. Ikeda M (2012) Analysis of Mobile Ad-hoc Network Routing Protocols using Shadowing Propagation Model. International Journal of Space-Based and Situated Computing 2(3):139–148

    Google Scholar 

  13. Ikeda M (2012) End-to-End Single and Multiple Flows Fairness in Mobile Ad-hoc Networks. Journal of Mobile Multimedia 8(3):204–224

    Google Scholar 

  14. Ikeda M, Honda T, Barolli L (2015) Performance of Optimized Link State Routing Protocol for Video Streaming Application in Vehicular Ad-hoc networks Cloud Computing. Concurrency and Computation: Practice and Experience 27(8):2054–2063

    Google Scholar 

  15. Inaba T, Sakamoto S, Kulla E, Caballe S, Ikeda M, Barolli L (2014) An Integrated System for Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic. International Conference on Intelligent Networking and Collaborative Systems (INCoS-2014) pp 157–162

    Google Scholar 

  16. Jonsson A, Akerman D, Fitzgerald E, Nyberg C, Priyanto BE, Agardh K (2016) Modeling, implementation and evaluation of ieee 802.11ac in ns-3 for enterprise networks. Wireless Days (WD-2016) pp 1–6, DOI 10.1109/WD.2016.7461452

    Google Scholar 

  17. Kulla E, Mino G, Sakamoto S, Ikeda M, Caball´e S, Barolli L (2014) FBMIS: A Fuzzy-Based Multi-interface System for Cellular and Ad Hoc Networks. IEEE International Conference on Advanced Information Networking and Applications (AINA-2014) pp 180–185

    Google Scholar 

  18. Lim A, Rodrigues B, Wang F, Xu (2004) k-Center Problems with Minimum Coverage. Computing and Combinatorics pp 349–359

    Google Scholar 

  19. Maolin T, et al (2009) Gateways Placement in Backbone Wireless Mesh Networks. International Journal of Communications. Network and System Sciences 2(1):44

    Google Scholar 

  20. Muthaiah SN, Rosenberg CP (2008) Single Gateway Placement in Wireless Mesh Networks. Proc of 8th International IEEE Symposium on Computer Networks pp 4754–4759

    Google Scholar 

  21. Oda T, Barolli A, Spaho E, Xhafa F, Barolli L, Takizawa M (2012) Evaluation of WMN-GA for Different Mutation Operators. International Journal of Space-Based and Situated Computing 2(3):149–157

    Google Scholar 

  22. Oda T, Barolli A, Xhafa F, Barolli L, Ikeda M, Takizawa M (2012) Performance Evaluation of WMN-GA for Different Mutation and Crossover Rates Considering Number of Covered Users Parameter. Mobile Information Systems 8(1):1–16

    Google Scholar 

  23. Poli R, Kennedy J, Blackwell T (2007) Particle Swarm Optimization. Swarm intelligence 1(1):33–57

    Google Scholar 

  24. Sakamoto S, Kulla E, Oda T, Ikeda M, Barolli L, Xhafa F (2013) A Comparison Study of Simulated Annealing and Genetic Algorithm for Node Placement Problem inWireless Mesh Networks. Journal of Mobile Multimedia 9(1-2):101–110

    Google Scholar 

  25. Sakamoto S, Kulla E, Oda T, Ikeda M, Barolli L, Xhafa F (2014) A Comparison Study of Hill Climbing, Simulated Annealing and Genetic Algorithm for Node Placement Problem in WMNs. Journal of High Speed Networks 20(1):55–66

    Google Scholar 

  26. Sakamoto S, Kulla E, Oda T, Ikeda M, Barolli L, Xhafa F (2014) Performance Evaluation Considering Iterations per Phase and SA Temperature in WMN-SA System. Mobile Information Systems 10(3):321–330

    Google Scholar 

  27. Sakamoto S, Lala A, Oda T, Kolici V, Barolli L, Xhafa F (2014) Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario. International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 6(2):13–21

    Google Scholar 

  28. Sakamoto S, Oda T, Ikeda M, Barolli L, Xhafa F (2016) Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation. The 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016) pp 206–211, DOI 10.1109/AINA.2016.42

    Google Scholar 

  29. Schutte JF, Groenwold AA (2005) A Study of Global Optimization using Particle Swarms. Journal of Global Optimization 31(1):93–108

    Google Scholar 

  30. Shi Y (2004) Particle Swarm Optimization. IEEE Connections 2(1):8–13

    Google Scholar 

  31. Shi Y, Eberhart RC (1998) Parameter Selection in Particle Swarm Optimization. Evolutionary programming VII pp 591–600

    Google Scholar 

  32. Vanhatupa T, Hannikainen M, Hamalainen T (2007) Genetic Algorithm to Optimize Node Placement and Configuration for WLAN Planning. Proc of 4th IEEE International Symposium onWireless Communication Systems pp 612–616

    Google Scholar 

  33. Wang J, Xie B, Cai K, Agrawal DP (2007) Efficient Mesh Router Placement in Wireless Mesh Networks. Proc of IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS-2007) pp 1–9

    Google Scholar 

  34. Xhafa F, Sanchez C, Barolli L (2009) Ad hoc and Neighborhood Search Methods for Placement of Mesh Routers in Wireless Mesh Networks. Proc of 29th IEEE International Conference on Distributed Computing SystemsWorkshops (ICDCS-2009) pp 400–405

    Google Scholar 

  35. Xhafa F, Sun J, Barolli A, Biberaj A, Barolli L (2012) Genetic Algorithms for Satellite Scheduling Problems. Mobile Information Systems 8(4):351–377

    Google Scholar 

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Author information

Authors and Affiliations

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

    Shinji Sakamoto

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

    Tetsuya Oda, Makoto Ikeda & Leonard Barolli

  3. Department of Languages and Informatics Systems, Technical University of Catalonia, C/Jordi Girona 1-3, 08034, Barcelona, Spain

    Fatos Xhafa

Authors
  1. Shinji Sakamoto
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  2. Tetsuya Oda
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  3. Makoto Ikeda
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  4. Leonard Barolli
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  5. Fatos Xhafa
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Corresponding author

Correspondence to Shinji Sakamoto .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Campus Nord,Ed. Omega (Room 109), Technical University of Catalonia Campus Nord,Ed. Omega (Room 109), Barcelona, Spain

    Fatos Xhafa

  3. Department of Information Security Engin, Soonchunhyang University Department of Information Security Engin, Asan-si, Korea (Republic of)

    Kangbin Yim

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Sakamoto, S., Oda, T., Ikeda, M., Barolli, L., Xhafa, F. (2017). An Integrated Simulation System Considering WMN-PSO Simulation System and Network Simulator 3. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-49106-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49105-9

  • Online ISBN: 978-3-319-49106-6

  • eBook Packages: EngineeringEngineering (R0)

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