• DocumentCode
    2203453
  • Title

    Modeling and analysis of IEEE 802.15.4 CSMA/CA with sleep mode enabled

  • Author

    Gao, Bo ; He, Chen ; Jiang, Lingge

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    6
  • Lastpage
    11
  • Abstract
    According to the widely used IEEE 802.15.4, one of the most effective ways to reduce the power consumption of sensor nodes is to enable the optional sleep mode by radio shutdown. In this paper, we propose an extended Markov-based analytical model for IEEE 802.15.4 slotted carrier sense multiple access/collision avoidance (CSMA/CA) algorithm considering the newly enabled sleep mode. For taking account of the active/sleep transitions in our model, we particularly analyze the impact of duty cycle on throughput and power consumption. Moreover, some discussion based on the numerical results of the model is carried out for further understanding. It is showed that the results given by our model have an accurate match with the simulations, and the impacts of the sleep mode on IEEE 802.15.4 can be studied by the model well.
  • Keywords
    Markov processes; carrier sense multiple access; collision avoidance; power consumption; CSMA/CA; IEEE 802.15.4; Markov-based analytical model; ZigBee certification; active/sleep transitions; carrier sense multiple access; collision avoidance; power consumption; sensor nodes; sleep mode enabled; Analytical models; Centralized control; Collision avoidance; Communication system control; Energy consumption; Multiaccess communication; Network topology; Niobium; Peer to peer computing; Wireless sensor networks; CSMA/CA; IEEE 802.15.4; analytical model; sleep mode; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-2423-8
  • Electronic_ISBN
    978-1-4244-2424-5
  • Type

    conf

  • DOI
    10.1109/ICCS.2008.4737133
  • Filename
    4737133