• DocumentCode
    246094
  • Title

    Analysis of Mesh Router Node Placement Using WMN-GA System Considering Different Architectures of WMNs

  • Author

    Oda, Tetsuya ; Sakamoto, Shinji ; Barolli, Admir ; Ikeda, Makoto ; Xhafa, Fatos ; Barolli, Leonard

  • Author_Institution
    Grad. Sch. of Eng., Fukuoka Inst. of Technol. (FIT), Fukuoka, Japan
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of two different distributions of mesh clients for two WMN architectures considering throughput, delay and energy metrics. For simulations, we used ns-3 and Hybrid Wireless Mesh Protocol (HWMP). We compare the performance for normal and uniform distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the throughput, delay and remaining energy is better for Uniform distribution compared with Normal distribution. For the throughput and delay the performance is good for Hybrid WMN. However, for remaining energy the IJB WMN performs better.
  • Keywords
    genetic algorithms; protocols; telecommunication network routing; wireless mesh networks; WMN-GA system; genetic algorithms; hybrid wireless mesh protocol; mesh router node placement; wireless mesh networks; wireless network researchers; Hybrid power systems; Information systems; Throughput; GA; HWMP; Wireless Mesh Networks; mesh router node placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network-Based Information Systems (NBiS), 2014 17th International Conference on
  • Conference_Location
    Salerno
  • Print_ISBN
    978-1-4799-4226-8
  • Type

    conf

  • DOI
    10.1109/NBiS.2014.110
  • Filename
    7023932