• DocumentCode
    2810731
  • Title

    Analysis of packet loss for batch traffic arrivals in IEEE 802.15.4-based networks

  • Author

    Haghighi, Mohammad Sayad ; Mohamed-pour, Kamal ; Varadharajan, Vijay

  • Author_Institution
    Dept. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    4-7 Oct. 2011
  • Firstpage
    117
  • Lastpage
    122
  • Abstract
    Instances of batch traffic can be seen in many applications. A set of sensors around the source of a sudden event which try to report it to the cluster head, and energy conserving MAC protocols in hierarchical networks with sleep-awake schedules which lead to burst traffics toward a single destination are good examples. The transient non-stationary nature of network reaction to batch arrivals has led to the development of complex models in order to estimate the network quantities of interest. In this paper, we propose a non-stationary Markov model to capture the transient characteristics of IEEE 802.15.4-based networks response to batch traffic arrivals of one- shot type. Mainly, the slotted CSMA/CA MAC protocol of the IEEE 802.15.4 standard is analyzed and the packet loss metric value is extracted from the proposed model. Extensive simulations were conducted to evaluate the accuracy of the proposed model and to compare its performance with that of the previous models.
  • Keywords
    Markov processes; Zigbee; carrier sense multiple access; scheduling; telecommunication traffic; IEEE 802.15.4-based network; batch traffic arrival; energy conserving MAC protocol; nonstationary Markov model; packet loss analysis; packet loss metric value; sleep-awake scheduling; slotted CSMA/CA MAC protocol; Delay; IEEE 802.15 Standards; Markov processes; Media Access Protocol; Multiaccess communication; Sensors; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks (LCN), 2011 IEEE 36th Conference on
  • Conference_Location
    Bonn
  • ISSN
    0742-1303
  • Print_ISBN
    978-1-61284-926-3
  • Type

    conf

  • DOI
    10.1109/LCN.2011.6115166
  • Filename
    6115166