• DocumentCode
    2307742
  • Title

    A cooperative MAC protocol with neighbor nodes information for ad hoc networks

  • Author

    Jing, Zhengwei ; Xie, Yi ; Yuan, Pengfei ; Chen, Xijian

  • Author_Institution
    Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
  • Volume
    2
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    578
  • Lastpage
    585
  • Abstract
    Distributed coordination function (DCF) is a compulsory medium access control (MAC) scheme in IEEE 802.11 protocol. In order to avoid the performance degradation due to hidden nodes, DCF adopts RTS/CTS mechanism to decrease collisions. However, the cost of RTS/CTS sharply increases with the number of wireless nodes. This paper has proposed a cooperative MAC protocol (C-MAC) for time-slotted Ad Hoc networks, which resolves collisions by introducing neighbor nodes information. A scheduling algorithm based on the neighbor node list is used to determine which node can transmit data at a particular time slot. In this paper, we analyze the throughput of IEEE 802.11 DCF and C-MAC in mathematics. An inference is obtained: when the network topology is fixed, the throughput of C-MAC is higher than the one of DCE The simulation results proves this inference. C-MAC significantly improves DCF in terms of increasing throughput by 20%~40%. Moreover, C-MAC can obviously improve the fairness of wireless nodes.
  • Keywords
    access protocols; ad hoc networks; cooperative communication; telecommunication congestion control; telecommunication network topology; telecommunication standards; wireless LAN; IEEE 802.11 DCF; IEEE 802.11 protocol; RTS-CTS mechanism; ad hoc networks; cooperative MAC protocol; distributed coordination function; hidden nodes; neighbor nodes information; network topology; performance degradation; wireless nodes; Abstracts; Bismuth; Multiaccess communication; Nickel; Protocols; Ad hoc network; Collision resolution; DCF; Neighbor node list; RTS/CTS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6358987
  • Filename
    6358987