• DocumentCode
    233084
  • Title

    Research of Optimal Clustering Routing Algorithm for NGB with Small-World Property

  • Author

    Wang, Y. ; Cui, Y. ; Wang, Y.L.

  • Author_Institution
    Nat. Network New Media Eng. Res. Center (Shanghai Branch), Shanghai Adv. Res. Inst., Shanghai, China
  • fYear
    2014
  • fDate
    8-10 Nov. 2014
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    In the wired and wireless integrated network, there is deployed of a small amount of heterogeneous nodes communication directly with the Sink, forming a shortcut, and making network has the properties of small world, with better energy saving and improve network performance. However, the optimal deployment of heterogeneous nodes is a kind of NP - Hard problem. Therefore, the paper consideration of the total energy of network and energy consumption balance, transforming the optimizedd eployment of heterogeneous nodes into a mixed integer programming problem, getting the approximate optimal solution by the decomposition algorithm, And then, there will be a dynamic clustering to the ordinary node deployed in the integrated network, setting up to a clustered node routing way. It is the clustering CHNMIP heterogeneous network routing algorithm based on the mixed integer programming, namely clustering based on the mixed integer programming is heterogeneous network CHNMIP routing algorithm. The result of the simulation experimental shows that the CHNMIP routing can improve integrated network performance under different simulation NGB environment.
  • Keywords
    computational complexity; energy consumption; integer programming; pattern clustering; small-world networks; telecommunication network routing; CHNMIP; NGB; NP-hard problem; clustering heterogeneous network-based on mixed integer programming; decomposition algorithm; dynamic clustering; energy consumption balance; energy saving; heterogeneous node deployment; integrated network; mixed integer programming; optimal heterogeneous network clustering routing algorithm; small-world property; Approximation algorithms; Clustering algorithms; Energy consumption; Linear programming; Optimization; Routing; Wireless communication; heterogeneous NGB; mixed integer programming (MIP); routing algorithm; small-world properties;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Conference on
  • Conference_Location
    Guangdong
  • Print_ISBN
    978-1-4799-4174-2
  • Type

    conf

  • DOI
    10.1109/BWCCA.2014.46
  • Filename
    7016046