• DocumentCode
    3142885
  • Title

    Cross-layer routing for congestion control in wireless sensor networks

  • Author

    Hsu, Yu-Pin ; Feng, Kai-Ten

  • Author_Institution
    Nat. Chiao Tung Univ., Hsinchu
  • fYear
    2008
  • fDate
    22-24 Jan. 2008
  • Firstpage
    783
  • Lastpage
    786
  • Abstract
    Techniques for improving the network congestion have been proposed in different fields. In recent year, the congestion control problems were studied to enhance the routing performance for wireless sensor networks. In this paper, an adaptive NAV-assisted routing (ANAR) algorithm is proposed to improve the network congestion with a cross- layer approach. The NAV vectors obtained from the RTS/CTS packets are utilized for the determination of the channel status around a sensor node. The routing path is selected based on the congestion-free probability along the route for the transmission of data packets. Moreover, the adaptive path- switching scheme further enhances the routing performance of the proposed ANAR algorithm. The effectiveness of the ANAR protocol is illustrated via the simulations. Without consuming excessive power for each sensor node, the ANAR algorithm can achieve better performance comparing with other existing schemes, especially under the scenarios with network congestion.
  • Keywords
    probability; routing protocols; telecommunication congestion control; wireless channels; wireless sensor networks; adaptive NAV-assisted routing protocol; congestion control; congestion-free probability; cross-layer routing; wireless channel; wireless sensor network; Communication system control; Cross layer design; Hardware; Monitoring; Multiaccess communication; Routing protocols; Spread spectrum communication; Switches; Tin; Wireless sensor networks; CSMA/CA scheme; Congestion control; cross-layer design; routing protocol; wireless multihop networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Symposium, 2008 IEEE
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4244-1462-8
  • Electronic_ISBN
    978-1-4244-1463-5
  • Type

    conf

  • DOI
    10.1109/RWS.2008.4463609
  • Filename
    4463609