• DocumentCode
    678564
  • Title

    Cross layer awareness optimization between physical layer and MAC layer of wireless infrastructure based network using bio inspired algorithm

  • Author

    Verma, Vimlesh ; Shiwani, Savita

  • Author_Institution
    Comput. Sci. Eng., Suresh Gyan Vihar Univ., Jaipur, India
  • fYear
    2013
  • fDate
    4-6 July 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Cross Layer Awareness Optimization removes such boundaries allowing flow of information or communication between layers by allowing access among the layer for information exchange. The strict boundaries create dependency problem for the concerned layer as well as other layers. The prime question arises whether this attitude can be applied to wireless infrastructure based network to map different layer (PHY and MAC layer) of protocol stack in cross layer framework. Now the optimization algorithm becomes the prime feature for optimizing among the Physical (PHY) and MAC layer. In this work, cross layer awareness is optimized at physical (PHY) layer for wireless infrastructure based network of smart antennas or adaptive antennas consisting of uniform linear array (ULA) using Genetic Algorithm for optimizing or minimizing the cost function.
  • Keywords
    access protocols; adaptive antenna arrays; genetic algorithms; linear antenna arrays; MAC layer; PHY layer; adaptive antennas; bio inspired algorithm; cost function; cross layer awareness optimization; cross layer framework; genetic algorithm; information exchange; optimization algorithm; physical layer; protocol stack; smart antennas; uniform linear array; wireless infrastructure based network; Adaptive arrays; Biological cells; Cross layer design; Genetic algorithms; Optimization; Wireless communication; CGA; CLAO; Smart Antenna;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
  • Conference_Location
    Tiruchengode
  • Print_ISBN
    978-1-4799-3925-1
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2013.6726701
  • Filename
    6726701