• DocumentCode
    2035845
  • Title

    The Worst and Best Case Capacity Analysis of Mobile Ad Hoc Networks (MANET) Using a 3-Phase Algorithm

  • Author

    Rizvi, Syed S. ; Riasat, Aasia ; Khan, Mustafa A. ; Elleithy, Khaled

  • Author_Institution
    Comput. Sci. & Eng. Dept., Bridgeport Univ., Karachi
  • fYear
    2008
  • fDate
    16-20 June 2008
  • Firstpage
    594
  • Lastpage
    596
  • Abstract
    The capacity of mobile ad hoc network (MANET) is typically determined by the size of network, routing protocol, mobility and the interactions that occur between the nodes. Moreover, these critical parameters cause the loss rate that has severed impact on the performance of the MANET. This situation even becomes worst when these critical parameters are chosen inappropriately. This paper presents an analytical model that incorporates most of the critical parameters that can influence the capacity of MANET. Based on the analytical model, an efficient 3-phase algorithm is designed to optimize the performance of MANET in terms of an increased capacity and the reduced transmission delay. The proposed 3-phase algorithm considers both delay-tolerant and delay-sensitive network traffics. In addition, the 3-phase algorithm can be used to approximate both the best and worst case capacities of MANET with the relaying and non-relaying nodes.
  • Keywords
    ad hoc networks; mobile communication; routing protocols; telecommunication traffic; 3-phase algorithm; capacity analysis; delay-sensitive network traffic; delay-tolerant network traffic; mobile ad hoc network; mobility; network size; routing protocol; transmission delay; Algorithm design and analysis; Analytical models; Delay; Design optimization; Mobile ad hoc networks; Performance loss; Relays; Routing protocols; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor, Mesh and Ad Hoc Communications and Networks, 2008. SECON '08. 5th Annual IEEE Communications Society Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-1777-3
  • Electronic_ISBN
    978-1-4244-1776-6
  • Type

    conf

  • DOI
    10.1109/SAHCN.2008.81
  • Filename
    4557804