• DocumentCode
    3668056
  • Title

    Scheduling and routing algorithm for co-operative wireless networks

  • Author

    P. Gnanasundari

  • Author_Institution
    Department of ECE, SNS College of Engineering, Coimbatore, Tamil Nadu, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The major challenges in wireless communication system have increased spectral efficiency and improved connection reliability. Cooperative communications and networking represent a new paradigm which involves both transmission and distributed processing and also increases the capacity and diversity gain in wireless networks. Cooperative transmission is an emerging communication technology that takes advantage of the broadcast nature of wireless channels. In cooperative transmission, the use of relays can create a virtual antenna array, so that multiple-input/multiple-output (MIMO) technique can be employed. The relaying process in cooperative networks can be either transparent or regenerative. In wireless networks the problem of allocating transmission rights to subsets of network users at each time and under different channel qualities is known as the scheduling problem. The generic routing problem in communications networks can be informally stated as the problem of building and using routing tables to direct data traffic so that some measure of network performance, function of the network type and of the services provided, is maximized. Our technical approach is based on modified energy aware scheduling algorithm and also ant colony optimization technique in order to improve the packet delivery ratio and reduces the congestion.
  • Keywords
    "Relays","Sensors","Ant colony optimization","Wireless networks","MIMO","Mathematical model","Network coding"
  • Publisher
    ieee
  • Conference_Titel
    Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
  • Print_ISBN
    978-1-4799-1752-5
  • Type

    conf

  • DOI
    10.1109/ICSNS.2015.7292437
  • Filename
    7292437