• DocumentCode
    3603329
  • Title

    Analytic Modeling of the Coexistence of IEEE 802.15.4 and IEEE 802.11 in Saturation Conditions

  • Author

    Ngangue Ndih, Eugene David ; Cherkaoui, Soumaya ; Dayoub, Iyad

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. de Sherbrooke, Sherbrooke, QC, Canada
  • Volume
    19
  • Issue
    11
  • fYear
    2015
  • Firstpage
    1981
  • Lastpage
    1984
  • Abstract
    With the increasing deployment of smart wireless devices using different technologies such as IEEE 802.15.4 and IEEE 802.11 which operate in the same frequency band, it becomes urgent to deeply understand the impact of this coexistence on the performance of the involved networks. We present in this letter an analytic framework based on Markov chains that captures accurately the behavior of channel access mechanisms in IEEE 802.11 DCF and the unslotted IEEE 802.15.4 when both technologies are coexisting together. The model allows the derivation of metrics such as the probability of successful transmissions, the probability of collision, and the fraction of time that the channel is idle, or experiences successful transmissions for both 802.11 and 802.15.4 nodes. Through extensive simulations of diverse coexistence scenarios, we validate the accuracy of the proposed model, and we analyze the performance of both 802.11 networks and 802.15.4 networks in saturation conditions.
  • Keywords
    Markov processes; Zigbee; probability; wireless LAN; IEEE 802.11; IEEE 802.15.4; Markov chains; channel access mechanisms; probability of collision; probability of successful transmissions; saturation conditions; smart wireless devices deployment; Analytical models; IEEE 802.11 Standards; IEEE 802.15 Standards; Markov processes; Throughput; Wireless communication; Wireless sensor networks; 802.11; 802.15.4; Markov chain; coexistence;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2449298
  • Filename
    7132717