• DocumentCode
    3579024
  • Title

    Comparative analysis of random based mobility models using TCP variant in MANETs

  • Author

    Devaraj, S. Allwin ; Anita, R. Helen Vedanayagi ; Christa, J. Jennifer

  • Author_Institution
    Dept. of ECE, Francis Xavier Eng. Coll., Tirunelveli, India
  • fYear
    2014
  • Firstpage
    324
  • Lastpage
    329
  • Abstract
    In Mobile Ad-hoc Networks (MANETs), mobile node act as router themselves and keeping the route information to reach other mobile nodes and helps to forward data packets from one mobile to another mobile node. The performance of the different mobility models such as Random Walk (RW), Random Waypoint (RWP), Manhattan Mobility (MM), Reference Point Group Mobility (RPGM) are widely analyzed in the environment using NS2.34 software under Linux platform (Fedora). Depending on the type of TCP (Transmission Control Protocol) implementation the behavior was different for each mobility models and it´s due to the activation or missing of the following algorithms Slow Start, Congestion Avoidance and Congestion Detection. The performance of TCP flows in an Mobile ad-hoc network is analyzed using four different mobility models with Ad hoc On- Demand Distance Vector (AODV) as the routing protocol and TCP/TCP New Reno as the transport protocol.
  • Keywords
    Linux; mobile ad hoc networks; mobility management (mobile radio); routing protocols; telecommunication congestion control; transport protocols; AODV; Linux platform; MANET; NS2.34 software; TCP-TCP new reno; ad hoc on demand distance vector; congestion avoidance; congestion detection; data packet forwarding; mobile ad hoc network; mobile node; random based mobility model comparative analysis; routing protocol; transmission control protocol; Ad hoc networks; Analytical models; Delays; Mobile computing; Mobile nodes; Congestion Avoidance and Congestion Detection; MANET; Mobility Models; Packet Delivery Ratio; TCP; TCP New Reno;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication and Network Technologies (ICCNT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6265-5
  • Type

    conf

  • DOI
    10.1109/CNT.2014.7062778
  • Filename
    7062778