• DocumentCode
    2133893
  • Title

    An Adaptive Network Allocation Vector for IEEE 802.11-based Multi-hop Networks

  • Author

    Najimi, Maryam ; Darmani, Yousef ; Haghighi, Mohammad Sayad ; Mohamedpour, Kamal

  • Author_Institution
    Dept. of Electr. Eng., K.N.Toosi Univ. of Technol., Tehran, Iran
  • Volume
    1
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    279
  • Lastpage
    282
  • Abstract
    Performance of multi-hop ad hoc networks is highly affected by the hidden and exposed node problems. The RTS/CTS handshaking protocol used in the IEEE 802.11 standard was designed to solve the hidden node problem; however it was not successful in thoroughly eradicating the problem. We claim that it is sometimes possible to earn more throughput by controlling or even wisely creating this phenomenon. We suggest a solution to improve the throughput in IEEE 802.11-based multi-hop ad hoc networks by modifying the NAV mechanism. In our approach every node controls the packet transmission decision-making through a set of fuzzy-like rules which are based on the node queue level and environment variables. Simulation results show that our approach increases the overall throughput of the network in multi-hop scenarios.
  • Keywords
    ad hoc networks; decision making; protocols; queueing theory; wireless LAN; CTS handshaking protocol; IEEE 802.11-based multihop network; NAV mechanism; RTS protocol; ad hoc network; adaptive network allocation vector; fuzzy-like rules; node queue level; packet transmission decision-making; Access protocols; Ad hoc networks; Adaptive systems; Decision making; Interference; Media Access Protocol; Payloads; Spread spectrum communication; Throughput; Wireless networks; Hidden Node Effect; Multi-hop Ad hoc Netwotks; Network Allocation Vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3431-2
  • Type

    conf

  • DOI
    10.1109/FGCN.2008.181
  • Filename
    4734104