• DocumentCode
    2289061
  • Title

    The analysis of M/M/1 queue model with N policy for damaged nodes in MANET

  • Author

    Wen-jie, Xia ; Han, Yan ; Feng-yu, Liu

  • Author_Institution
    Dept. of Comput. Sci., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    289
  • Lastpage
    294
  • Abstract
    The mobile ad hoc network (MANET) is a temporarily organized computer multi-hop communication network which is composed of mobile hosts equipped with wireless transmitters and receivers. Considering human repair, this paper studied a M/M/1 queue model for damaged nodes in MANET where the service man applies N-policy. By assuming damaged nodes´ arrival be subject to Poisson process, repair time and vacation time be exponentially distributed, we firstly establish the relation between arrival rate and the steady-state probability of service, and given N, we obtain the probability of vacation. Secondly an analysis on system overhead with different N and vacation rate is performed. Finally we use OPNET to analyzing the network performance under different N and provide the concrete method to simulate node damage process in MANET. It is helpful to get the best strategy for arranging resources in MANET repair system to improve network stability.
  • Keywords
    mobile ad hoc networks; queueing theory; radio receivers; radio transmitters; stochastic processes; M/M/1 queue model; MANET; OPNET; Poisson process; computer multi-hop communication network; damaged nodes; mobile ad hoc network; mobile hosts; steady-state probability; wireless receivers; wireless transmitters; Delay; Maintenance engineering; Mobile ad hoc networks; Peer to peer computing; Throughput; Wireless communication; M/M/1 queue; MANET; N policy; damaged nodes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953224
  • Filename
    5953224